diff --git "a/notebooks/gj_error.ipynb" "b/notebooks/gj_error.ipynb"
--- "a/notebooks/gj_error.ipynb"
+++ "b/notebooks/gj_error.ipynb"
@@ -147,7 +147,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -156,6 +156,70 @@
     "collection = db['sf_bay_test_jobs']"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'_id': ObjectId('663e7d4b114eccafdded1201'), 'title': 'Data Scientist at SAP America in Palo Alto, CA', 'company_name': 'SAP America', 'location': 'Palo Alto, CA', 'via': 'via Palo Alto CA Geebo.com Free Classifieds Ads - Geebo', 'description': \"Purpose and Objective:\\nThe Multi-Cloud team in Global Cloud Services seek a Data Scientist at our Palo Alto, CA location to analyze customer's business problems, use cases and forms the requirements into feasible product/services features. Expectations and Tasks:\\nExplore data sources, implements data exploration, pre-processing and data cleansing on the historical data. Understand data and... evaluate data quality from both data science and business value perspectives. Prepare the data for future models. Develop statistical / machine learning models based on the pre-processed data as a proof-of-concept. Assess and optimize the model quality based on technical level by tuning hyper-parameters, settings and/or changing models. Integrate the statistical / machine learning models into products & services. Work closely with product managers, developers, and engineers to ensure that models will be used in products or services, and ensure all expected features are delivered. Evaluate, improve/refine models by tuning parameters, adjusting data sources, or model approaches, to provide business value for SAP, LOBs and the Multi-cloud team. Minimum travel may be required. Education and Qualifications/Skills and Competencies:\\nBachelor's degree in Computer Science, Engineering, Mathematics or a related field of study and 4 years of experience required. The company will also accept a Master's degree and 2 years of experience. Work\\nExperience:\\nExperience must involve 3 years in the following:\\nML and data science knowledge to define the next key features for the solution; build features architected for speed and distributed computing; Research, prototyping and development in the big data, machine learning and data science domain and machine learning frameworks.\\nSalary Range:\\n$80K -- $100K\\nMinimum Qualification\\nData Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications\", 'extensions': ['3 days ago', '20–28 an hour', 'Full-time'], 'detected_extensions': {'posted_at': '3 days ago', 'salary': '20–28 an hour', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'http://www.sap.com/', 'text': 'sap.com'}, {'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&hl=en&q=SAP+America&sa=X&ved=0ahUKEwi3-oOY8IOGAxU7mokEHRCNALEQmJACCNoJ', 'text': 'See web results for SAP America'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJEYXRhIFNjaWVudGlzdCBhdCBTQVAgQW1lcmljYSBpbiBQYWxvIEFsdG8sIENBIiwiY29tcGFueV9uYW1lIjoiU0FQIEFtZXJpY2EiLCJodGlkb2NpZCI6IlhfcGt1ajhQZmgtTkJHbC1BQUFBQUE9PSIsInEiOiJEYXRhIFNjaWVudGlzdCBQYWxvIEFsdG8gQ0EifQ==', 'thumbnail': 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQw8Jlr2JpdmZjtXXpcWGFheRYu6C98w2zvgXbF&s=0', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e7d4c114eccafdded1205'), 'title': 'Senior Data Scientist at Prealize Health in Palo Alto, CA', 'company_name': 'Prealize Health', 'location': 'Palo Alto, CA', 'via': 'via Palo Alto CA Geebo.com Free Classifieds Ads - Geebo', 'description': 'Senior Data Scientist\\nJob Description:\\nBased in Palo Alto, California, Prealize Health is a predictive analytics company that leverages machine learning and clinical expertise to help patients obtain better care, sooner. Most of healthcare today is very reactive - with care being delivered when someone is already ill. We believe that healthcare should be about keeping individuals and their families well - to prevent them from ever becoming sick. Building on years of published research from our founders at Stanford University, our mission is to give patients, providers, and payers the insights they need to improve patient health and prevent adverse medical events. Through machine learning and the extensive experience of our founders, team, and advisors in healthcare, we are committed to helping healthcare organizations see around the corner so that they can take a proactive approach to helping patients. We are seeking a Senior Data Scientist to join our team. You will work closely with... our other data scientists, engineers, and product managers to help develop data-driven products and machine learning systems that will directly affect patient lives. Your expert knowledge in data modeling and machine learning applications will be crucial to our mission and the success of the company. As a Data Scientist you will:\\nDevelop and apply methods in statistics, machine learning and deep learning to expand and improve our product offers Work closely with our clients to understand their needs and translate them into machine learning-powered solutions Work with our product team to ensure we create the highest value products possible for our partners Work with our engineering team to enhance the quality, robustness, and extensibility of our platform for millions of patients Work with our advisors and keep up to date on relevant literature to ensure we use the best approaches available Document and present your work to the team and our partners You will love this job if:\\nYou are passionate about making an impact in healthcare and want to work in a fast- paced environment You enjoy translating high-level goals and business use cases into concrete implementations You love to collaborate with technical and non-technical stakeholders You are passionate about scalable and reproducible machine learning\\nQualifications:\\n4\\nyears of experience in data science or machine learning engineering BS or MS in computer science, engineering, statistics, biostatistics, bioengineering or related field and experience with applied problems Expert in Python, R, or similar programming language Expert knowledge in machine learning such as regression and classification approaches (random forests, neural networks, etc.) Experience with software development tools such as version control Experience working on interdisciplinary, collaborative projects as well as experience leading independent research projects Nice to Have but Not Required:\\nAbility to research and come up with strategies to solve novel challenges Excellent communication skills Experience in deep learning Experience in the healthcare domain\\nSalary Range:\\n$80K -- $100K\\nMinimum Qualification\\nData Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications', 'extensions': ['3 days ago', '20–28 an hour', 'Full-time'], 'detected_extensions': {'posted_at': '3 days ago', 'salary': '20–28 an hour', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'http://www.prealizehealth.com/', 'text': 'prealizehealth.com'}, {'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&hl=en&q=Prealize+Health&sa=X&ved=0ahUKEwi3-oOY8IOGAxU7mokEHRCNALEQmJACCJQM', 'text': 'See web results for Prealize Health'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJTZW5pb3IgRGF0YSBTY2llbnRpc3QgYXQgUHJlYWxpemUgSGVhbHRoIGluIFBhbG8gQWx0bywgQ0EiLCJjb21wYW55X25hbWUiOiJQcmVhbGl6ZSBIZWFsdGgiLCJodGlkb2NpZCI6ImtyTjFySmdiaUhrNWVGcGxBQUFBQUE9PSIsInEiOiJEYXRhIFNjaWVudGlzdCBQYWxvIEFsdG8gQ0EifQ==', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e7d4c114eccafdded120a'), 'title': 'Data Scientist - San Francisco', 'company_name': 'Rad Hires', 'location': 'Palo Alto, CA', 'via': 'via Indeed', 'description': \"Data Scientist - San Francisco - On-Site\\n\\nOur client is a growing Fintech startup that is looking for a full-time Data Scientist to join their team in San Francisco. The ideal candidate will have a strong background in Data Science, Deep Learning, and Neural Networks...\\n\\nNOTE: This is an on-site role in downtown San Francisco.\\n\\nResponsibilities:\\n• Develop and implement data science models to solve business problems\\n• Work with large datasets and perform data analysis\\n• Build and deploy machine learning models\\n• Work with other team members to develop and implement data science solutions\\n\\nQualifications:\\n• Bachelor's degree in Computer Science, Mathematics, or a related field\\n• 3+ years of experience in Data Science, Deep Learning, and Neural Networks\\n• Strong programming skills in Python, R, or Scala\\n• Experience with big data technologies such as Hadoop, Spark, and Hive\\n• Strong analytical and problem-solving skills\\n• Excellent communication and teamwork skills\", 'extensions': ['150K–170K a year', 'Full-time'], 'detected_extensions': {'salary': '150K–170K a year', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&hl=en&q=Rad+Hires&sa=X&ved=0ahUKEwi3-oOY8IOGAxU7mokEHRCNALEQmJACCJIP', 'text': 'See web results for Rad Hires'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJEYXRhIFNjaWVudGlzdCAtIFNhbiBGcmFuY2lzY28iLCJjb21wYW55X25hbWUiOiJSYWQgSGlyZXMiLCJodGlkb2NpZCI6IklhamdhRmxkSlZKMjdsbzZBQUFBQUE9PSIsInEiOiJEYXRhIFNjaWVudGlzdCBQYWxvIEFsdG8gQ0EifQ==', 'thumbnail': 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSC7hHqW45pmfEmhKfSF80lenwwVW2DsrnIvnl4&s=0', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e7d5d114eccafdded1210'), 'title': 'Data Scientist', 'company_name': 'Aurora Innovation', 'location': 'San Francisco, CA', 'via': 'via Indeed', 'description': \"Who We Are\\n\\nAurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, increasingly accessible, and more reliable and efficient than ever before. The Aurora Driver is a self-driving system designed to operate multiple vehicle types, from freight-hauling semi-trucks to ride-hailing passenger vehicles, and underpins Aurora... Horizon and Aurora Connect, its driver-as-a-service products for trucking and ride-hailing. Aurora is working with industry leaders across the transportation ecosystem, including Toyota, FedEx, Volvo Trucks, PACCAR, Uber, Uber Freight, U.S. Xpress, Werner, Covenant, Schneider, and Ryder. For Aurora's latest news, visit aurora.tech and @aurora_inno on Twitter.\\n\\nOn the Aurora Data Science team, you will join a world-class group whose mission is generating insights and intelligence to improve the Aurora Driver and help accelerate our path towards safe and broad commercialization of Autonomous Vehicle technology. We are looking for an exceptional Data Scientist that can play a key role in accelerating the development of the Aurora Driver by contributing towards the automation, monitoring, and analysis of our development and operational processes. This is an opportunity to leverage vast amounts of data from both online (on-road) and offline (simulation) test modalities to help Aurora achieve its product and commercialization goals.\\n\\nThe ideal candidate will be someone who thrives working cross-functionally, getting things done, and has an ability to navigate complex and exciting projects with our partner Software, Hardware, and Operations teams. If your passions align with working on cutting edge Data Science projects to deliver impactful analysis, tools, and workflows that will transform the Transportation space, then joining Aurora Data Science is the perfect opportunity for you.\\n\\nIn this role, you will\\n• Work with our Engineering and Operations teams to inform the development of the Aurora Driver and streamline critical validation activities\\n• Partner closely with those stakeholders to design and implement metrics and dashboards to accelerate their development processes and help them measure, understand, and improve their performance\\n• Collaborate with a team of world-class Data Scientist and Analysts on Data Science problems spanning multiple subsystems (eg. Motion Planning, Perception, Controls, etc.)\\n• Develop statistical models to support forecasting and planning across a variety of problem areas\\n• Work closely with engineering, operations, and business leads to support their decisions with data-driven input\\n• Collaborate with our Data Science and Engineering communities to ensure the adoption of best practices and suggest improvements\\n\\nRequired Qualifications\\n• 2-4+ years of experience as a Data Scientist, Analyst or similar technical role\\n• Demonstrable proficiency in coding, programming concepts, and technical tools, combined with the enthusiasm and passion to build. Must be strong using Python\\n• Strong knowledge and experience using relational databases (SQL, PostgreSQL, etc.) and familiarity with best practices for Data Engineering\\n• Knowledge and experience with both common and advanced Data Science, inference, and statistical modeling tools (eg. numpy, sklearn, pytorch, etc.)\\n• Experience with taking Data Science analysis end-to-end, working closely with Engineering to productionize pipelines, and surface insights in a scalable way\\n• Proven ability to communicate technical, data-driven analysis to both technical and non-technical audiences across stakeholders, including translating and cascading Executive input into their work\\n\\nDesirable Qualifications\\n• Advanced degree (MS or PhD) in Statistics, Computer Science, Operations Research, Economics, or a related quantitative field\\n• Experience working with data transformation tools such as DBT\\n• Experience working on ETL pipelines and leveraging big data engines\\n• Experience using Amazon Web Services (AWS) tools\\n• Experience in the Autonomous Vehicle, Robotics, or Advanced Transportation spaces\\n\\nThe base salary range for this position is $168k-$252K per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.\\n\\n#LI-SP1\\n\\n#Mid-Senior\\n\\nWorking at Aurora\\n\\nAt Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.\\n\\nWe have offices in several locations across the United States, where we encourage team and cross-functional collaboration. Aurora offers competitive medical, dental, and vision benefits, and additional healthcare support including medical transportation reimbursement, fertility, adoption, and surrogacy benefits. We empower our employees and their families with options to further their unique physical, mental, and financial well-being.\\n\\nOur Learning and Development offerings include Aurora Academy, where our people learn, develop, and practice the essential skills that drive Aurora's mission, continually up-leveling our team along the way. Our Careers page provides insight into career opportunities at Aurora, and you can find all the latest news on our Blog.\\n\\nSafety is central to everything we do. Every employee at Aurora has a role in contributing to safety, every step of the way. We seek candidates who take active responsibility, can contribute to building an atmosphere of trust, and invest in the organization's long-term success by working safely — no matter what.\\n\\nWe believe that self-driving technology has broad benefits – including increased access to transportation. To realize those benefits, we need a workforce with diverse experiences, insights, and perspectives — a workforce that reflects the communities our technology will serve.\\n\\nAurora is committed to providing access to anyone who seeks information from our website. We invite anyone using assistive technologies, such as a screen reader or Braille reader, to email us at careersiteaccommodations@aurora.tech if they experience difficulty using our website. Please describe the accessibility problem and include a URL (if available).\\n\\nAurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech.\\n\\nFor California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora's California Employment Privacy Policy.\\n\\nDiversity, Equity and Inclusion\\n\\nAt Aurora, every employee is empowered to take an active role in building an inclusive, collaborative, and unified culture that leverages our diverse strengths, perspectives, and backgrounds.\\n\\nTransforming how the world moves people and goods involves seeking to understand backgrounds, insights, and lived experiences that differ from our own. One way we accomplish that is with our 15 employee-led Aurora Unified Groups, which support diverse voices and drive inclusive collaboration. We believe that teamwork, belonging, and trust motivate and support our employees to do their best work. As our team grows, we strive to attract and retain exceptional talent that adds new perspectives and experiences and continues to drive innovation. Learn more on our Culture Page.\\n\\nWe are committed to helping qualified military community members leverage their talents in service of our mission. To understand how your military experience aligns with career opportunities at Aurora, review your military job classification at MyNextMove.org and consider applying for open positions corresponding to your identified skills and experiences\", 'extensions': ['1 day ago', '168K–252K a year', 'Full-time', 'Health insurance', 'Dental insurance'], 'detected_extensions': {'posted_at': '1 day ago', 'salary': '168K–252K a year', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'http://y.reinventtechnologypartners.com/about', 'text': 'y.reinventtechnologypartners.com/about'}, {'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&sca_upv=1&hl=en&q=Aurora+Innovation&sa=X&ved=0ahUKEwiuiaSg8IOGAxU9v4kEHSiJBBsQmJACCKYM', 'text': 'See web results for Aurora Innovation'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJEYXRhIFNjaWVudGlzdCIsImNvbXBhbnlfbmFtZSI6IkF1cm9yYSBJbm5vdmF0aW9uIiwiaHRpZG9jaWQiOiJGdzRZUjAyVDZjbXR6cm81QUFBQUFBPT0iLCJxIjoiRGF0YSBTY2llbnRpc3QgU2FuIEZyYW5jaXNjbyBDQSJ9', 'thumbnail': 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRIm2JQ6LTL4DBLX4IHteAFkpIL4qYJAy4rusjb&s=0', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e7dba114eccafdded1222'), 'title': 'Staff Machine Learning Engineer', 'company_name': 'CyberCoders', 'location': 'Palo Alto, CA', 'via': 'via Indeed', 'description': 'Staff Machine Learning Engineer\\n\\nWe are looking for an experienced ML/AI Engineer to join our startup team...\\n\\nIn the era of AI, the necessity for a device with purposeful intelligence becomes paramount, starting from the concept of utilizing the entire data set that is in and around a person\\'s life to deliver unparalleled experiences.\\n• Candidates that complete the applicant questionnaire will be prioritized in the review process\\n\\nPosition Overview: You will lead the development and integration of advanced AI capabilities into our innovative \"Responsive\" AI device. This person will spearhead the design and implementation of cutting-edge machine learning algorithms and AI technologies to revolutionize the way individuals interact and create with our AI device. A passion for Large Language Models is a must!\\n\\nKey Responsibilities:\\n• Lead development of our Machine Learning LLM algorithms and AI tech for devices.\\n• Document and maintain the models, algorithms and solutions.\\n• Collaborate across the org on the evolution of the capabilities of the AI and the overall company.\\n• Research top of the industry ML and AI models to stay consistently top of the industry.\\n\\nQualifications:\\n• 5+ years in ML/AI engineering and development.\\n• Passion, interest, and experience in LLMs (Large Language Models)\\n• Bachelors or Masters Degree in Computer Science, Engineering, Information Technology, or related.\\n• In-depth knowledge of machine learning models and computer vision.\\n• Be located in California\\n\\nBenefits\\n• Competitive salary of $180,000+ per year.\\n• Opportunity to work with a pioneering team at the forefront of AI technology.\\n• Professional growth and development and advancement within the company.essional growth and advancement within the company.\\n\\nApplicants must be authorized to work in the U.S.\\n\\nCyberCoders is proud to be an Equal Opportunity Employer\\n\\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please contact a member of our Human Resources team to make arrangements', 'extensions': ['10 hours ago', '180K–250K a year', 'Full-time'], 'detected_extensions': {'posted_at': '10 hours ago', 'salary': '180K–250K a year', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'http://www.cybercoders.com/', 'text': 'cybercoders.com'}, {'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&sca_upv=1&hl=en&q=CyberCoders&sa=X&ved=0ahUKEwjjntPM8IOGAxXPk4kEHWpLCWkQmJACCN8J', 'text': 'See web results for CyberCoders'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJTdGFmZiBNYWNoaW5lIExlYXJuaW5nIEVuZ2luZWVyIiwiY29tcGFueV9uYW1lIjoiQ3liZXJDb2RlcnMiLCJodGlkb2NpZCI6ImFBa2ljNnhwWEM4RXI4V0hBQUFBQUE9PSIsInEiOiJNYWNoaW5lIExlYXJuaW5nIEVuZ2luZWVyIFBhbG8gQWx0byBDQSJ9', 'thumbnail': 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQcs2ZFkUmkI1UIvHT79zqjl2EGSChy_tZYojn6&s=0', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e7dba114eccafdded1227'), 'title': 'Machine Learning Engineering Intern', 'company_name': 'Hewlett Packard', 'location': 'Palo Alto, CA', 'via': 'via Indeed', 'description': 'About Us\\n\\nInnovation is in HP’s DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world’s leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe...\\n\\nHP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze.\\n\\nInternship Opportunity:\\n\\nJoin our dynamic full-stack team on a mission to create impactful machine learning solutions deployable across diverse platforms. As an intern, you’ll be part of a talented group of engineers dedicated to designing, training, and integrating advanced machine learning capabilities.\\n\\nWhat We’re Looking For: Proactive interns with a passion for innovation and excellence in any of the following domains:\\n• Large Language and Vision Models\\n• Multimodal Generative AI\\n• 3D Pose and Shape Estimation\\n• Augmented and Virtual Reality\\n• Autonomous Systems\\n• Intelligent Human-Computer Interaction\\n• Deep Learning Techniques\\n• Model Optimization\\n• Computer Vision\\n• Synthetic Data Generation\\n• Robotics\\n• Embedded Systems\\n• Cloud Technologies\\n• Other cutting-edge technologies\\n\\nYour Role: As an intern, you will:\\n• Research and develop machine learning models from inception to deployment.\\n• Work collaboratively with teams to transform business needs into robust technical solutions.\\n• Craft algorithms for processing vast datasets efficiently in real-time.\\n• Integrate models with various platforms for real-world applications.\\n• Enhance model performance for greater accuracy and efficiency.\\n• Keep abreast of technological advancements to foster innovation.\\n• Engage in mentoring and knowledge exchange.\\n\\nQualifications:\\n• Pursuing a degree in Computer Science, Engineering, Mathematics, or a related field – PHD Candidates preferred.\\n• Demonstrated skills in Python/C++, C#, Swift, or Objective-C.\\n• Familiarity with PyTorch, TensorFlow, Flutter, or similar frameworks.\\n• Understanding of machine learning, computer vision, and robotics.\\n• Experience with cloud services (AWS, Azure, GCP) is a plus.\\n• Mobile development knowledge for Android/iOS is beneficial.\\n• Excellent analytical and problem-solving abilities.\\n• Strong communication and teamwork skills.\\n\\nThis internship is a unique opportunity to contribute to real-world projects that reach millions of users globally. You’ll gain hands-on experience, learn from industry experts, and help drive technological innovation forward.\\n\\nIf you’re eager to learn and ready to make a difference, we’d love to hear from you!\\n\\nWe are looking for visionaries who are ready to make an impact on the way the world works. At HP, the future is yours to create. Thanks for taking the time to review our job, if you think it is a match to your knowledge and interests please apply today— we are eager to learn more about you.\\n\\nHP is an equal opportunity employer: https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225\\n\\nCOL, NY, CA, WA - Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $ 40-50 hourly. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process', 'extensions': ['2 days ago', '40–50 an hour', 'Internship'], 'detected_extensions': {'posted_at': '2 days ago', 'salary': '40–50 an hour', 'schedule_type': 'Internship'}, 'related_links': [{'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&sca_upv=1&hl=en&q=Hewlett+Packard&sa=X&ved=0ahUKEwjjntPM8IOGAxXPk4kEHWpLCWkQmJACCOsM', 'text': 'See web results for Hewlett Packard'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJNYWNoaW5lIExlYXJuaW5nIEVuZ2luZWVyaW5nIEludGVybiIsImNvbXBhbnlfbmFtZSI6Ikhld2xldHQgUGFja2FyZCIsImh0aWRvY2lkIjoid2xGQVlVcjF4MWs1bXFWS0FBQUFBQT09IiwicSI6Ik1hY2hpbmUgTGVhcm5pbmcgRW5naW5lZXIgUGFsbyBBbHRvIENBIn0=', 'thumbnail': 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTbcfM7HfgTGugXIF8ohR5zQBY-xgGnvbKZnCt1&s=0', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e7e21114eccafdded123c'), 'title': 'Machine Learning Engineer, Glue AI and Platform Excellence team', 'company_name': 'Amazon.com Services LLC', 'location': 'Palo Alto, CA', 'via': 'via Palo Alto CA Geebo.com Free Classifieds Ads - Geebo', 'description': \"The Company:\\nAmazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing.\\nOur web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world...\\nThese customers range from start-ups to leading web companies to Global 500 companies.\\nThe Group:\\nAWS Analytics team provides rapidly growing, industry acclaimed cloud services in areas of big data platforms to data analytics to operational databases.\\nThe group is at the forefront of innovation in these areas producing world-class cloud services such as Glue, Lake Formation, Redshift, EMR, Elastic Search, and many more.\\nThe Team:\\nAWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development.\\nOur mission is to redefine how data analytics is done in Cloud and make it easy and fast for customers to query their data.\\nAWS Glue provides all of the capabilities needed for serverless data integration so that you can start analyzing your data and putting it to use in minutes instead of months.\\nWe are building the next generation generative data integration platform - Amazon Q data integration in AWS Glue, a data workflow system to enable customers to stitch data operations with natural language prompts (visually and programmatically), and performant dataplane.\\nWe are scaling the backend infrastructure to enable super-low latencies workloads at a cloud scale.\\nThe teams owns both the product & backend and it's a unique experience.\\nAmazon Q data integration in AWS Glue enables you to build data integration pipelines using natural language.\\nDescribe your intent through a chat interface, Amazon Q data integration in AWS Glue will generate a complete job.\\nYou can test the job and put it into production with a single click.\\nWhen errors occur, you can troubleshoot them, without having to dive deep into documentation, blogs, and reference materials.\\nAmazon Q data integration in AWS Glue provides you instant SME guidance throughput your data integration journey.\\nYou do not need to be an Apache Spark or SQL expert, or wait for an expert to answer your questions.\\nIn this role, you will:\\nInnovate at the Intersection of AI and Software Development:\\nPlay a pivotal role in the continuous development of Amazon Q.\\nYour work will directly contribute to advancements in AI-driven development tools.\\nLeverage Advanced AI Techniques:\\nUtilize and understand machine learning techniques, prompt engineering, and agent-based workflows.\\nYour role will require a blend of research acumen and practical engineering skills.\\nWork with Cutting-Edge Technologies:\\nEngage with information retrieval systems, knowledge graphs, and large language models (LLMs).\\nThese technologies are central to our product and your role.\\nTop reasons to join our team:\\nBe catalyst to deliver a truly disruptive product(s) that are growing rapidly You get to define, build, own, and run a service in high growth envrionment Solve unique and first-order problems in areas of Generative AI, Data Integration, Big Data, Serverless computing, Spark, Distributed Systems and Machine Learning Learn how to build ML models for distributed systems problems Be part of big data revolution in cloud Influence and build products that will leverage scale of resources to run serverless big data workloadsAbout you:\\nPassionate in building large scale distributed systems, serverless compute, and big data systems Thrive in culture of ownership, delivery and bias for action Fast pace environment energizes you to be at your best Innovate and invent in agile and collaborative environment Curious and eager to learn to expect more of you and others\\nResponsibilities:\\nDevelop and Enhance AI-Powered Software Tools:\\nContribute to the development of Amazon Q data integration in AWS Glue, ensuring it remains at the forefront of generative AI technology.\\nResearch and Engineering Integration:\\nApply the latest findings in machine learning and AI to practical software development challenges.\\nYour work will be a blend of research and real-world application.\\nCollaborate with Cross-Functional Teams:\\nWork alongside a diverse group of professionals, including researchers and scientists, to integrate cutting-edge AI technologies into our software solutions.\\nInnovate and Implement AI Solutions:\\nBe actively involved in the ideation and implementation of new features, leveraging your understanding of AI and machine learning.\\nEnsure High-Quality Software Standards:\\nUphold our high standards in software development, focusing on the reliability, scalability, and performance of our AI-powered tools.\\nInclusive Team Culture Here at AWS, we embrace our differences.\\nWe are committed to furthering our culture of inclusion.\\nWe have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally.\\nWe have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.\\nAmazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.\\nWork/Life Balance Our team puts a high value on work-life balance.\\nIt isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life.\\nWe believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.\\nWe offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.\\nMentorship & Career Growth Our team is dedicated to supporting new members.\\nWe have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship.\\nOur senior members enjoy one-on-one mentoring and thorough, but kind, code reviews.\\nWe care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.\\nEngineering Blogs and Videos from Team1.\\nAmazon Q data integration in AWS Glue:\\nhttps:\\n//aws.\\namazon.\\ncom/glue/amazon-q-integration-generative-ai/2.\\nThe Story of AWS Glue (VLDB 2023 paper):\\nhttps:\\n//www.\\namazon.\\nscience/publications/the-story-of-aws-glue3.\\nAWS Glue 4.\\n0:\\nhttps:\\n//aws.\\namazon.\\ncom/blogs/aws/new-aws-glue-4-0-new-and-updated-engines-more-data-formats-and-more/4.\\nGlue Studio:\\nhttps:\\n//www.\\nyoutube.\\ncom/watch?v=KkN8lQ-jr58We are open to hiring candidates to work out of one of the following locations:\\nEast Palo Alto, CA, USA.\\nEstimated Salary: $20 to $28 per hour based on qualifications\", 'extensions': ['3 days ago', '20–28 an hour', 'Full-time'], 'detected_extensions': {'posted_at': '3 days ago', 'salary': '20–28 an hour', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&sca_upv=1&hl=en&q=Amazon.com+Services+LLC&sa=X&ved=0ahUKEwiU1d_88IOGAxUETjABHZi6BqwQmJACCIwM', 'text': 'See web results for Amazon.com Services LLC'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJNYWNoaW5lIExlYXJuaW5nIEVuZ2luZWVyLCBHbHVlIEFJIGFuZCBQbGF0Zm9ybSBFeGNlbGxlbmNlIHRlYW0iLCJjb21wYW55X25hbWUiOiJBbWF6b24uY29tIFNlcnZpY2VzIExMQyIsImh0aWRvY2lkIjoiUEphX1hkRDM1bjMzM1hfSkFBQUFBQT09IiwicSI6IkFJIEdlbiBFbmdpbmVlciBQYWxvIEFsdG8gQ0EifQ==', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e7e67114eccafdded1244'), 'title': 'Software Development Engineer - ML Infrastructure, Search MLOps...', 'company_name': 'Amazon.com Services LLC', 'location': 'Palo Alto, CA', 'via': 'via Palo Alto CA Geebo.com Free Classifieds Ads - Geebo', 'description': \"The Amazon Search team creates powerful, customer-focused search and advertising solutions and technologies.\\nWhenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search services go to work.\\nWe design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day...\\nOur Search Relevance team works to maximize the quality and effectiveness of the search experience for visitors to Amazon websites worldwide.\\nAmazon's large scale brings with it unique problems to solve in designing, testing, and deploying relevance models.\\nWe are seeking a strong software engineer to join the Experimentation Infrastructure and Methods team.\\nThis team's charter is to increase the pace of experimentation and innovation in the search engine.\\nIn practice, we aim to create infrastructure, enable new experimental methods, and do proof-of-concept experiments, that enable Search Relevance teams to introduce new features faster, reduce the cost of experimentation, and deliver faster against Search goals.\\nIn this role you will:\\nWork to improve and deploy machine learning models at Amazon scale.\\nTake ownership.\\nUnderstand the needs of various search teams, distil those into coherent projects, and implement them with an eye on long-term impact.\\nBe a leader.\\nUse your expertise to set a high bar for the team, mentor team members, set the tone for how to take on and deliver on large impossible-sounding projects.\\nBe ambitious.\\nFind and eagerly tackle hard problems.\\nThe phrase 'can't be done' should energize you.\\nBe curious.\\nYou will work alongside systems engineers, machine learning scientists, and data analysts.\\nYour effectiveness and impact will depend on discussing problems with and learning from them.\\nYou will have access to the cutting-edge technologies and vast technical tools and resources of Amazon and will need to learn how to use them effectively.\\nBe customer focused.\\nWork backwards from customer problems, figure out elegant solutions, and implement them for speed and scalability.\\nYou are going to love this job because you will:\\nJoin a highly talented team of Engineers working on solving interesting problems in a fun and collaborative environment.\\nGet exposure to large scale use of various AWS components such EC2, S3, EMR, SQS, SNS, etc.\\nSee the fruits of your efforts used by hundreds of millions of users.\\nHave access to the vast technical tools and resources of Amazon.\\nJoining this team, you'll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.\\ncom (AMZN), one of the world's leading internet companies.\\nWe provide a highly customer-centric, team-oriented environment in our offices located in Palo Alto, California.\\n.\\nEstimated Salary: $20 to $28 per hour based on qualifications\", 'extensions': ['2 days ago', '20–28 an hour', 'Full-time'], 'detected_extensions': {'posted_at': '2 days ago', 'salary': '20–28 an hour', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&sca_upv=1&hl=en&q=Amazon.com+Services+LLC&sa=X&ved=0ahUKEwiy2N-f8YOGAxUGEVkFHexECaIQmJACCKgK', 'text': 'See web results for Amazon.com Services LLC'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJTb2Z0d2FyZSBEZXZlbG9wbWVudCBFbmdpbmVlciAtIE1MIEluZnJhc3RydWN0dXJlLCBTZWFyY2ggTUxPcHMuLi4iLCJjb21wYW55X25hbWUiOiJBbWF6b24uY29tIFNlcnZpY2VzIExMQyIsImh0aWRvY2lkIjoiM3hmek9zSEFhTlRwb1RPYkFBQUFBQT09IiwicSI6Ik1MIE9wcyBQYWxvIEFsdG8gQ0EifQ==', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e7e67114eccafdded1245'), 'title': 'MLOps Engineer', 'company_name': 'Vianai Systems', 'location': 'Palo Alto, CA', 'via': 'via ZipRecruiter', 'description': \"The Opportunity:\\n\\nVianai is looking for an experienced MLOps Engineer who will lay the groundwork for a long term and scalable human-centered AI experience throughout a growing collection of ML products. Our ideal MLOps Engineer is hands-on, collaborative, self-motivated, and innovative. We're hoping you are as excited as we are to create human-centered AI products poised for rapid growth and... continued success.\\n\\nExpectations:\\n• Develop and implement end-to-end Ops pipelines to support ML model deployment throughout the entire ML lifecycle.\\n• Setup and drive CI/CD automation initiatives.\\n• Monitor ML Ops systems and environments including cloud components utilizing Azure/AWS/GCP.\\n• Utilize container-based tools such as Docker, Kubernetes, Terraform, and Pulumi to manage cloud services.\\n• Communicate and present your work in a clear and simple manner with relationship skills and as a strong team player.\\n\\nQualifications:\\n• BS or MS in Computer Science, Computer Engineering, or equivalent experience.\\n• 3-5 years of MLOps experience developing and deploying ML pipelines.\\n• 3-5 years of experience deploying ML models with cloud-based technologies like Azure/AWS/GCP.\\n• 3-5 years of programming and scripting experience utilizing Python or Bash.\\n• Track record of delivering scalable and reliable ML infrastructure components.\\n• Strong written and verbal communication skills, including the ability to communicate with cross-functional teams.\\n• Curiosity and passion for new, and innovative technology.\\n\\nWho We Are:\\n\\nWe are a team of engineers, designers, doers, makers, and thought leaders. We are also sisters and brothers, fathers and mothers, partners and friends. We are curious and creative, confident and humble and we have a passion for what's next. We believe that when used to amplify our humanity, our technology has the power to do good in the world.\\n\\nWhile Vianai is a part of each one of us, it isn't all of us.\\n\\nOur company is founded on a culture of trust, empowerment, and respect. We bring our whole self to work - the non-perfect, messy, sometimes imposter, sometimes expert, sometimes vulnerable, and sometimes superhuman self that contributes to what we believe in. We are committed to advancing inclusion, equity, and diversity because we believe that to design more transparent and beneficial AI systems, we need architects of all types. And to us, the more perspectives the better.\\n\\nVianai has deep expertise in enterprise technologies and landscapes, business application development, engineering services, design thinking, and cutting-edge AI research. We are a startup, and we are founded, funded, and led by veterans of the industry. We think and work like entrepreneurs, but we've brought a wealth of experience and expertise that is deeply relevant to our mission and the market opportunity.\\n\\nAbout Vianai:\\n\\nVianai is a Human-Centered AI platform and products company amplifying the power of human understanding and collaboration together with advanced AI techniques, to drive transformation. Vianai's unique human-centered approach empowers data professionals and domain experts to leverage causal data science, drive deeper intelligence into decision making, and improve business outcomes. Vianai customers include many of the world's largest and most respected companies in manufacturing, financial services, retail, and aerospace and defense, among many others. The company is headquartered in Palo Alto, California, and has an R&D center in Israel\", 'extensions': ['140K–180K a year', 'Full-time'], 'detected_extensions': {'salary': '140K–180K a year', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'http://www.vian.ai/', 'text': 'vian.ai'}, {'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&sca_upv=1&hl=en&q=Vianai+Systems&sa=X&ved=0ahUKEwiy2N-f8YOGAxUGEVkFHexECaIQmJACCPgK', 'text': 'See web results for Vianai Systems'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJNTE9wcyBFbmdpbmVlciIsImNvbXBhbnlfbmFtZSI6IlZpYW5haSBTeXN0ZW1zIiwiaHRpZG9jaWQiOiJORzhmLWtuMGNybUh2NmxhQUFBQUFBPT0iLCJxIjoiTUwgT3BzIFBhbG8gQWx0byBDQSJ9', 'thumbnail': 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSbh0sj5MkYKtCfAv4kv2XNTy9VP3hH5t6darmH&s=0', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e7e67114eccafdded1246'), 'title': 'Software Engineer, ML Ops, Autonomy', 'company_name': 'Rivian', 'location': 'Palo Alto, CA', 'via': 'via Learn4Good', 'description': \"Position: Staff Software Engineer, ML Ops, Autonomy\\n\\nAbout Rivian...\\n\\nRivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.\\n\\nAs a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.\\n\\nRole Summary\\n\\nThe Autonomy org at Rivian is seeking a Sr Software Engineer, Data Ops to join the Data team who can provide expertise in cloud and data engineering and collaborate with technical and business users. This candidate needs to have a very good understanding of the AWS Cloud Data Platform and Data Ops processes that helps to build, test, and release complex mission critical infrastructure services for Rivian's ADAS team on AWS cloud\\n\\nIn this role you will work with the ADAS Cloud,Data, Perception, SIL/HIL, Vehicle integrations & Vehicle Cloud teams, Product Management, and other Technology Partners to leverage best practices and reference architectures highlighting AWS Cloud Platform and Data/Dev/ML Ops practices.\\n\\nResponsibilities\\n• Lead, build, test and release complex mission-critical infrastructure services for Rivian's ADAS team on cloud and/or on-prem.\\n• Setup fault tolerant multi-region environments for data operations and data applications.\\n• Own CI/CD pipeline for apps and data projects.\\n• Define on-call strategy and participate in on-call rotations.\\n• Make developers' lives smooth via automated workflows.\\n• Build and optimize highly reliable, scalable, and distributed infra using microservice architecture.\\n• Collaborate with the security & privacy team to perform audits and mitigate any findings.\\n• Collaborate with cross-functional ADAS teams for development and integrations.\\n• Cost optimization in AWS across multiple accounts and services.\\nQualifications\\n• 5+ Yrs. of software engineering or in ML/Dev Ops role.\\n• 5+ Yrs. Experience authoring, scaling, and managing production infrastructure.\\n• Expertise with Kubernetes, AWS CI/CD tools, AWS networking stack, S3, Lambda, EKS, ECS, RDS, System Manager, Secrets Manager, Cloud Trail, etc.\\n• Expertise with Infra as Code and configuration management (Terraform, AWS cloud formation, AWS CDK).\\n• Experience monitoring applications in cloud using Datadog, AWS Cloud Watch or Prometheus.\\n• Experience debugging production systems and performing RCA on incidents.\\n• Hands-on proficiency with Python, Go or Java and Gitlab for automation.\\n• Experience with CI/CD and/or Git Ops patterns (using Gitlab, Jenkins, Allure etc.)\\n• Experience with Microservice-oriented architectures (using Kubernetes (EKS), AWS ECS, or Docker swarm).\\n• Knowledge of Agile Development of Accessible Software Tools.\\n• Linux internals, networking, and distributed computing are a plus.\\n• AWS or Cloud Native certification is a plus.\\nPay Disclosure\\n\\nSalary Range for California Based Applicants: $ - $ (actual compensation will be determined based on experience, location, and other factors permitted by law).\\n\\nBenefits Summary:\\nRivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums.\\n\\nEqual Opportunity\\n\\nRivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.\\n\\nRivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candi .\\n\\nCandidate Data Privacy\\n\\nRivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system;\\n\\n(ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting…\", 'extensions': ['3 days ago', '150K–200K a year', 'Full-time', 'Health insurance', 'Dental insurance'], 'detected_extensions': {'posted_at': '3 days ago', 'salary': '150K–200K a year', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'http://www.rivian.com/', 'text': 'rivian.com'}, {'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&sca_upv=1&hl=en&q=Rivian&sa=X&ved=0ahUKEwiy2N-f8YOGAxUGEVkFHexECaIQmJACCMsL', 'text': 'See web results for Rivian'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJTb2Z0d2FyZSBFbmdpbmVlciwgTUwgT3BzLCBBdXRvbm9teSIsImNvbXBhbnlfbmFtZSI6IlJpdmlhbiIsImh0aWRvY2lkIjoiR0UzQXdoamFrZlRBVldsdkFBQUFBQT09IiwicSI6Ik1MIE9wcyBQYWxvIEFsdG8gQ0EifQ==', 'thumbnail': 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQ6bydGumLTNdEp-wgzyuxJGbfqLbhTX6syzZ7k&s=0', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e7e67114eccafdded1249'), 'title': 'Machine Learning Engineer, Glue AI and Platform Excellence team', 'company_name': 'Amazon.com Services LLC', 'location': 'Palo Alto, CA', 'via': 'via Palo Alto CA Geebo.com Free Classifieds Ads - Geebo', 'description': \"The Company:\\nAmazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing.\\nOur web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world...\\nThese customers range from start-ups to leading web companies to Global 500 companies.\\nThe Group:\\nAWS Analytics team provides rapidly growing, industry acclaimed cloud services in areas of big data platforms to data analytics to operational databases.\\nThe group is at the forefront of innovation in these areas producing world-class cloud services such as Glue, Lake Formation, Redshift, EMR, Elastic Search, and many more.\\nThe Team:\\nAWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development.\\nOur mission is to redefine how data analytics is done in Cloud and make it easy and fast for customers to query their data.\\nAWS Glue provides all of the capabilities needed for serverless data integration so that you can start analyzing your data and putting it to use in minutes instead of months.\\nWe are building the next generation generative data integration platform - Amazon Q data integration in AWS Glue, a data workflow system to enable customers to stitch data operations with natural language prompts (visually and programmatically), and performant dataplane.\\nWe are scaling the backend infrastructure to enable super-low latencies workloads at a cloud scale.\\nThe teams owns both the product & backend and it's a unique experience.\\nAmazon Q data integration in AWS Glue enables you to build data integration pipelines using natural language.\\nDescribe your intent through a chat interface, Amazon Q data integration in AWS Glue will generate a complete job.\\nYou can test the job and put it into production with a single click.\\nWhen errors occur, you can troubleshoot them, without having to dive deep into documentation, blogs, and reference materials.\\nAmazon Q data integration in AWS Glue provides you instant SME guidance throughput your data integration journey.\\nYou do not need to be an Apache Spark or SQL expert, or wait for an expert to answer your questions.\\nIn this role, you will:\\nInnovate at the Intersection of AI and Software Development:\\nPlay a pivotal role in the continuous development of Amazon Q.\\nYour work will directly contribute to advancements in AI-driven development tools.\\nLeverage Advanced AI Techniques:\\nUtilize and understand machine learning techniques, prompt engineering, and agent-based workflows.\\nYour role will require a blend of research acumen and practical engineering skills.\\nWork with Cutting-Edge Technologies:\\nEngage with information retrieval systems, knowledge graphs, and large language models (LLMs).\\nThese technologies are central to our product and your role.\\nTop reasons to join our team:\\nBe catalyst to deliver a truly disruptive product(s) that are growing rapidly You get to define, build, own, and run a service in high growth envrionment Solve unique and first-order problems in areas of Generative AI, Data Integration, Big Data, Serverless computing, Spark, Distributed Systems and Machine Learning Learn how to build ML models for distributed systems problems Be part of big data revolution in cloud Influence and build products that will leverage scale of resources to run serverless big data workloadsAbout you:\\nPassionate in building large scale distributed systems, serverless compute, and big data systems Thrive in culture of ownership, delivery and bias for action Fast pace environment energizes you to be at your best Innovate and invent in agile and collaborative environment Curious and eager to learn to expect more of you and others\\nResponsibilities:\\nDevelop and Enhance AI-Powered Software Tools:\\nContribute to the development of Amazon Q data integration in AWS Glue, ensuring it remains at the forefront of generative AI technology.\\nResearch and Engineering Integration:\\nApply the latest findings in machine learning and AI to practical software development challenges.\\nYour work will be a blend of research and real-world application.\\nCollaborate with Cross-Functional Teams:\\nWork alongside a diverse group of professionals, including researchers and scientists, to integrate cutting-edge AI technologies into our software solutions.\\nInnovate and Implement AI Solutions:\\nBe actively involved in the ideation and implementation of new features, leveraging your understanding of AI and machine learning.\\nEnsure High-Quality Software Standards:\\nUphold our high standards in software development, focusing on the reliability, scalability, and performance of our AI-powered tools.\\nInclusive Team Culture Here at AWS, we embrace our differences.\\nWe are committed to furthering our culture of inclusion.\\nWe have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally.\\nWe have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.\\nAmazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.\\nWork/Life Balance Our team puts a high value on work-life balance.\\nIt isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life.\\nWe believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.\\nWe offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.\\nMentorship & Career Growth Our team is dedicated to supporting new members.\\nWe have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship.\\nOur senior members enjoy one-on-one mentoring and thorough, but kind, code reviews.\\nWe care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.\\nEngineering Blogs and Videos from Team1.\\nAmazon Q data integration in AWS Glue:\\nhttps:\\n//aws.\\namazon.\\ncom/glue/amazon-q-integration-generative-ai/2.\\nThe Story of AWS Glue (VLDB 2023 paper):\\nhttps:\\n//www.\\namazon.\\nscience/publications/the-story-of-aws-glue3.\\nAWS Glue 4.\\n0:\\nhttps:\\n//aws.\\namazon.\\ncom/blogs/aws/new-aws-glue-4-0-new-and-updated-engines-more-data-formats-and-more/4.\\nGlue Studio:\\nhttps:\\n//www.\\nyoutube.\\ncom/watch?v=KkN8lQ-jr58We are open to hiring candidates to work out of one of the following locations:\\nEast Palo Alto, CA, USA.\\nEstimated Salary: $20 to $28 per hour based on qualifications\", 'extensions': ['3 days ago', '20–28 an hour', 'Full-time'], 'detected_extensions': {'posted_at': '3 days ago', 'salary': '20–28 an hour', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&sca_upv=1&hl=en&q=Amazon.com+Services+LLC&sa=X&ved=0ahUKEwiy2N-f8YOGAxUGEVkFHexECaIQmJACCL4N', 'text': 'See web results for Amazon.com Services LLC'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJNYWNoaW5lIExlYXJuaW5nIEVuZ2luZWVyLCBHbHVlIEFJIGFuZCBQbGF0Zm9ybSBFeGNlbGxlbmNlIHRlYW0iLCJjb21wYW55X25hbWUiOiJBbWF6b24uY29tIFNlcnZpY2VzIExMQyIsImh0aWRvY2lkIjoiUEphX1hkRDM1bjMzM1hfSkFBQUFBQT09IiwicSI6Ik1MIE9wcyBQYWxvIEFsdG8gQ0EifQ==', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e7e79114eccafdded124d'), 'title': 'MLOps Engineer', 'company_name': 'Harnham', 'location': 'San Francisco, CA', 'via': 'via LinkedIn', 'description': 'MLOps Engineer\\n\\nBay Area, CA $200,000 - $250,000 + Competitive Benefits...\\n• Are you seeking an opportunity to work with an exclusive tech startup? This fast-growing startup is looking to build out their full machine learning engineering and machine learning operations team!\\n\\nTHE COMPANY\\n\\nThis expansive startup prides itself on working on mass amounts of data. There’s a huge opportunity for growth in this company as you will be working hands-on with passionate individuals on complex problems.\\n\\nTHE ROLE\\n\\nAs a MLOps Engineer you will…\\n• Work with the team to architect and end to end entire AI Engineering platform that allows for deployment and scalability of machine learning models\\n• Build tools and capabilities for model management and model performance monitoring\\n• Build tools and capabilities to support the full ML lifecycle and efficiency of ML models\\n\\nYOUR SKILLS AND EXPERIENCE\\n• 5+ years of full time experience\\n• Strong software engineering background with an understanding of machine learning\\n• Experience working with large scale systems and with consumer data\\n• Experience in big data technologies\\n• Experience building or working on a machine learning platform\\n• Tools: Python, AWS, Kubernetes, Kubeflow\\n\\nTHE BENEFITS\\n\\nAs a MLOps Engineer, you can expect a base salary between $200,000 to $250,000 (based on experience) plus competitive benefits.\\n\\nHOW TO APPLY\\n\\nPlease register your interest by sending your CV to Kristianna Chung via the Apply link on this page', 'extensions': ['21 days ago', '200K–250K a year', 'Full-time'], 'detected_extensions': {'posted_at': '21 days ago', 'salary': '200K–250K a year', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'http://harnham.com/', 'text': 'harnham.com'}, {'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&hl=en&q=Harnham&sa=X&ved=0ahUKEwihm7Oo8YOGAxVuD1kFHXZfBe4QmJACCNwJ', 'text': 'See web results for Harnham'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJNTE9wcyBFbmdpbmVlciIsImNvbXBhbnlfbmFtZSI6Ikhhcm5oYW0iLCJodGlkb2NpZCI6InFjTUhtVjktZ0FmM1NzUS1BQUFBQUE9PSIsInEiOiJNTCBPcHMgU2FuIEZyYW5jaXNjbyBDQSJ9', 'thumbnail': 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRSom1UrYd1teIlz6RlzpnKk8cRRgRXWhfM2PbM&s=0', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e7e7a114eccafdded124e'), 'title': 'MLOps Engineer', 'company_name': 'DeepRec.ai', 'location': 'San Francisco, CA', 'via': 'via LinkedIn', 'description': \"Job Title: MLOps Engineer - Visual Generative AI\\n\\nHybrid: San Francisco...\\n\\nJoin a pioneering visual Generative AI company at the forefront of innovation. We specialize in leveraging cutting-edge technologies to create stunning visual content, pushing the boundaries of creativity and imagination. We're seeking a talented MLOps Engineer to join our dynamic team and drive optimization, cost reduction, throughput enhancement, and rapid delivery of our groundbreaking projects.\\n\\nAbout the Role:\\n\\nAs an MLOps Engineer, you'll play a critical role in optimizing orchestration processes, reducing costs, upgrading throughput, and ensuring fast and efficient project delivery. You'll work closely with our engineering and data science teams to streamline our machine learning operations pipeline and implement best practices for managing and deploying our visual Generative AI models.\\n\\nResponsibilities:\\n• Optimize orchestration processes to ensure efficient deployment and management of AI models.\\n• Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance.\\n• Upgrade throughput to enhance the scalability and responsiveness of our AI systems.\\n• Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency.\\n• Ship new features and updates rapidly, maintaining a high level of quality and reliability.\\n\\nRequirements:\\n• Extensive experience as an MLOps Engineer or similar role, with a proven track record of optimizing machine learning pipelines and infrastructure.\\n• Strong background in working with video data and processing pipelines.\\n• Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).\\n• Experience with orchestration tools and frameworks such as Airflow, Kubeflow, or MLflow.\\n• Excellent problem-solving skills and the ability to troubleshoot complex issues in a fast-paced environment.\\n• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.\\n\\nWhy Join Us:\\n• Be part of a visionary team driving innovation in visual Generative AI.\\n• Work on cutting-edge projects that push the boundaries of creativity and imagination.\\n• Enjoy a dynamic and collaborative work environment where your ideas are valued and encouraged.\\n• Take on exciting challenges and make a meaningful impact on the future of AI and creative technology.\\n\\nPlease apply for more details\", 'extensions': ['2 days ago', '180K–250K a year', 'Full-time'], 'detected_extensions': {'posted_at': '2 days ago', 'salary': '180K–250K a year', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&hl=en&q=DeepRec.ai&sa=X&ved=0ahUKEwihm7Oo8YOGAxVuD1kFHXZfBe4QmJACCK8K', 'text': 'See web results for DeepRec.ai'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJNTE9wcyBFbmdpbmVlciIsImNvbXBhbnlfbmFtZSI6IkRlZXBSZWMuYWkiLCJodGlkb2NpZCI6IlNBQklyNHZPVGVRWndqYWNBQUFBQUE9PSIsInEiOiJNTCBPcHMgU2FuIEZyYW5jaXNjbyBDQSJ9', 'thumbnail': 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRzRaCPW0hT_S_xGu-b0ESYaSZtsU-F7AIbyZL0&s=0', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e7e7a114eccafdded124f'), 'title': 'ML Ops Engineer (100% Remote)', 'company_name': 'Jobot', 'location': 'San Francisco, CA', 'via': 'via Monster', 'description': 'Seed stage startup offering salary and generous equity - work remote from anywhere!\\n\\nThis Jobot Job is hosted by: Karyn Spies...\\nAre you a fit? Easy Apply now by clicking the \"Quick Apply\" button\\nand sending us your resume.\\nSalary: $150,000 - $200,000 per year\\n\\nA bit about us:\\n\\nCompany at the forefront of the intersection between artificial intelligence (AI) and gaming, offering innovative solutions and immersive experiences to our users. Our AI character studio allows users to create, interact with, and share AI characters which have varying skills - from seeing everything on your screen to interacting with these characters in AR/VR. We have been growing steadily and now it\\'s time to 100x our growth.\\n\\nWhy join us?\\n\\nYou\\'ll be part of a creative team that\\'s passionate about pushing the boundaries of AI and gaming. We have been pushing the boundaries of what\\'s possible and have been covered by the leading press for our efforts.\\n\\nWe offer a collaborative environment where your ideas and leadership can shape the future of our products and community. With us, you\\'ll have the opportunity to make a significant impact in an exciting, fast-growing industry.\\n\\nJob Details\\n\\nResponsibilities:\\n• Architecting and deploying open source models at scale.\\n• Model and inference optimization and server configuration and deployment with an emphasis on stability, scalability, and speed of inference/generation.\\n• Open source model evaluation.\\n• Building fine-tuning datasets and LoRAs.\\n• Providing best practices and executing POC for automated and efficient model operations at scale.\\n\\nQualifications:\\n• 5+ years of experience in ML Ops or a related field.\\n• 3+ years of experience in managing machine learning projects end-to-end.\\n• Recent focus (at least 18 months) on text generation models at scale.\\n• Monitoring Build & Production systems using automated monitoring and alarm tools.\\n• Knowledge of machine learning frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn.\\n• Experience with running large scale inference services at scale: NVIDIA Triton, TGI, vLLM\\n• Experience with container technologies (Docker, Kubernetes, EKS, ECS).\\n• Experience with multiple cloud providers (AWS, GCP, Azure, etc).\\n• Experience in distributed computing.\\n• Experience with a wide range of ML Models (Text Generation, Classification, OCR, Object Detection, Stable Diffusion)\\n• Proven track record of building and managing ML pipelines, including data preparation, model training, deployment, and monitoring.\\n• Solid foundation in DevOps principles and practices with experience in CI/CD pipelines for ML deployments.\\n• Solid programming skills with at least some of the following: C, C++, Rust, Python, JavaScript\\n• Experience with model performance monitoring and troubleshooting.\\n• Passion for ML and its potential to solve real-world problems.\\n\\nInterested in hearing more? Easy Apply now by clicking the \"Quick Apply\" button.\\n\\nBenefits:\\n401K, Employee Events, Employee Referral Program, Flexible Schedules, Free Food and Coffee, Game Rooms, Life Insurance, Maternity/Paternity Paid Leave, Medical, Dental and Vision, On Site Cafeteria, Paid Holidays, Paid sick days, Parking , Performance bonus, Professional Development, Retirement / Pension Plans, Vacation/paid time off, Work From Home\\n\\nAbout the Company:\\nJobot\\n\\nCompany Size:\\n500 to 999 employees\\n\\nIndustry:\\nEnergy and Utilities\\n\\nFounded:\\n2018\\n\\nWebsite:\\nhttps://jobot.com', 'extensions': ['22 days ago', '150K–200K a year', 'Full-time', 'Health insurance', 'Dental insurance', 'Paid time off'], 'detected_extensions': {'posted_at': '22 days ago', 'salary': '150K–200K a year', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&hl=en&q=Jobot&sa=X&ved=0ahUKEwihm7Oo8YOGAxVuD1kFHXZfBe4QmJACCIAL', 'text': 'See web results for Jobot'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJNTCBPcHMgRW5naW5lZXIgKDEwMCUgUmVtb3RlKSIsImNvbXBhbnlfbmFtZSI6IkpvYm90IiwiaHRpZG9jaWQiOiJQVzlKRWhUWVFsNFFFWDdCQUFBQUFBPT0iLCJxIjoiTUwgT3BzIFNhbiBGcmFuY2lzY28gQ0EifQ==', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e8090c5603438ab5e2503'), 'title': 'Data Scientist at SAP America in Palo Alto, CA', 'company_name': 'SAP America', 'location': 'Palo Alto, CA', 'via': 'via Palo Alto CA Geebo.com Free Classifieds Ads - Geebo', 'description': \"Purpose and Objective:\\nThe Multi-Cloud team in Global Cloud Services seek a Data Scientist at our Palo Alto, CA location to analyze customer's business problems, use cases and forms the requirements into feasible product/services features. Expectations and Tasks:\\nExplore data sources, implements data exploration, pre-processing and data cleansing on the historical data. Understand data and... evaluate data quality from both data science and business value perspectives. Prepare the data for future models. Develop statistical / machine learning models based on the pre-processed data as a proof-of-concept. Assess and optimize the model quality based on technical level by tuning hyper-parameters, settings and/or changing models. Integrate the statistical / machine learning models into products & services. Work closely with product managers, developers, and engineers to ensure that models will be used in products or services, and ensure all expected features are delivered. Evaluate, improve/refine models by tuning parameters, adjusting data sources, or model approaches, to provide business value for SAP, LOBs and the Multi-cloud team. Minimum travel may be required. Education and Qualifications/Skills and Competencies:\\nBachelor's degree in Computer Science, Engineering, Mathematics or a related field of study and 4 years of experience required. The company will also accept a Master's degree and 2 years of experience. Work\\nExperience:\\nExperience must involve 3 years in the following:\\nML and data science knowledge to define the next key features for the solution; build features architected for speed and distributed computing; Research, prototyping and development in the big data, machine learning and data science domain and machine learning frameworks.\\nSalary Range:\\n$80K -- $100K\\nMinimum Qualification\\nData Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications\", 'extensions': ['3 days ago', '20–28 an hour', 'Full-time'], 'detected_extensions': {'posted_at': '3 days ago', 'salary': '20–28 an hour', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'http://www.sap.com/', 'text': 'sap.com'}, {'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&hl=en&q=SAP+America&sa=X&ved=0ahUKEwj00aen84OGAxVnrYkEHU6jBLMQmJACCNoJ', 'text': 'See web results for SAP America'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJEYXRhIFNjaWVudGlzdCBhdCBTQVAgQW1lcmljYSBpbiBQYWxvIEFsdG8sIENBIiwiY29tcGFueV9uYW1lIjoiU0FQIEFtZXJpY2EiLCJodGlkb2NpZCI6IlhfcGt1ajhQZmgtTkJHbC1BQUFBQUE9PSIsInEiOiJEYXRhIFNjaWVudGlzdCBQYWxvIEFsdG8gQ0EifQ==', 'thumbnail': 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQw8Jlr2JpdmZjtXXpcWGFheRYu6C98w2zvgXbF&s=0', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e8091c5603438ab5e2509'), 'title': 'Senior Data Scientist at Prealize Health in Palo Alto, CA', 'company_name': 'Prealize Health', 'location': 'Palo Alto, CA', 'via': 'via Palo Alto CA Geebo.com Free Classifieds Ads - Geebo', 'description': 'Senior Data Scientist\\nJob Description:\\nBased in Palo Alto, California, Prealize Health is a predictive analytics company that leverages machine learning and clinical expertise to help patients obtain better care, sooner. Most of healthcare today is very reactive - with care being delivered when someone is already ill. We believe that healthcare should be about keeping individuals and their families well - to prevent them from ever becoming sick. Building on years of published research from our founders at Stanford University, our mission is to give patients, providers, and payers the insights they need to improve patient health and prevent adverse medical events. Through machine learning and the extensive experience of our founders, team, and advisors in healthcare, we are committed to helping healthcare organizations see around the corner so that they can take a proactive approach to helping patients. We are seeking a Senior Data Scientist to join our team. You will work closely with... our other data scientists, engineers, and product managers to help develop data-driven products and machine learning systems that will directly affect patient lives. Your expert knowledge in data modeling and machine learning applications will be crucial to our mission and the success of the company. As a Data Scientist you will:\\nDevelop and apply methods in statistics, machine learning and deep learning to expand and improve our product offers Work closely with our clients to understand their needs and translate them into machine learning-powered solutions Work with our product team to ensure we create the highest value products possible for our partners Work with our engineering team to enhance the quality, robustness, and extensibility of our platform for millions of patients Work with our advisors and keep up to date on relevant literature to ensure we use the best approaches available Document and present your work to the team and our partners You will love this job if:\\nYou are passionate about making an impact in healthcare and want to work in a fast- paced environment You enjoy translating high-level goals and business use cases into concrete implementations You love to collaborate with technical and non-technical stakeholders You are passionate about scalable and reproducible machine learning\\nQualifications:\\n4\\nyears of experience in data science or machine learning engineering BS or MS in computer science, engineering, statistics, biostatistics, bioengineering or related field and experience with applied problems Expert in Python, R, or similar programming language Expert knowledge in machine learning such as regression and classification approaches (random forests, neural networks, etc.) Experience with software development tools such as version control Experience working on interdisciplinary, collaborative projects as well as experience leading independent research projects Nice to Have but Not Required:\\nAbility to research and come up with strategies to solve novel challenges Excellent communication skills Experience in deep learning Experience in the healthcare domain\\nSalary Range:\\n$80K -- $100K\\nMinimum Qualification\\nData Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications', 'extensions': ['3 days ago', '20–28 an hour', 'Full-time'], 'detected_extensions': {'posted_at': '3 days ago', 'salary': '20–28 an hour', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'http://www.prealizehealth.com/', 'text': 'prealizehealth.com'}, {'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&hl=en&q=Prealize+Health&sa=X&ved=0ahUKEwj00aen84OGAxVnrYkEHU6jBLMQmJACCJ0N', 'text': 'See web results for Prealize Health'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJTZW5pb3IgRGF0YSBTY2llbnRpc3QgYXQgUHJlYWxpemUgSGVhbHRoIGluIFBhbG8gQWx0bywgQ0EiLCJjb21wYW55X25hbWUiOiJQcmVhbGl6ZSBIZWFsdGgiLCJodGlkb2NpZCI6ImtyTjFySmdiaUhrNWVGcGxBQUFBQUE9PSIsInEiOiJEYXRhIFNjaWVudGlzdCBQYWxvIEFsdG8gQ0EifQ==', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e8091c5603438ab5e250b'), 'title': 'Data Scientist - San Francisco', 'company_name': 'Rad Hires', 'location': 'Palo Alto, CA', 'via': 'via Indeed', 'description': \"Data Scientist - San Francisco - On-Site\\n\\nOur client is a growing Fintech startup that is looking for a full-time Data Scientist to join their team in San Francisco. The ideal candidate will have a strong background in Data Science, Deep Learning, and Neural Networks...\\n\\nNOTE: This is an on-site role in downtown San Francisco.\\n\\nResponsibilities:\\n• Develop and implement data science models to solve business problems\\n• Work with large datasets and perform data analysis\\n• Build and deploy machine learning models\\n• Work with other team members to develop and implement data science solutions\\n\\nQualifications:\\n• Bachelor's degree in Computer Science, Mathematics, or a related field\\n• 3+ years of experience in Data Science, Deep Learning, and Neural Networks\\n• Strong programming skills in Python, R, or Scala\\n• Experience with big data technologies such as Hadoop, Spark, and Hive\\n• Strong analytical and problem-solving skills\\n• Excellent communication and teamwork skills\", 'extensions': ['150K–170K a year', 'Full-time'], 'detected_extensions': {'salary': '150K–170K a year', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&hl=en&q=Rad+Hires&sa=X&ved=0ahUKEwj00aen84OGAxVnrYkEHU6jBLMQmJACCMAO', 'text': 'See web results for Rad Hires'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJEYXRhIFNjaWVudGlzdCAtIFNhbiBGcmFuY2lzY28iLCJjb21wYW55X25hbWUiOiJSYWQgSGlyZXMiLCJodGlkb2NpZCI6IklhamdhRmxkSlZKMjdsbzZBQUFBQUE9PSIsInEiOiJEYXRhIFNjaWVudGlzdCBQYWxvIEFsdG8gQ0EifQ==', 'thumbnail': 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSC7hHqW45pmfEmhKfSF80lenwwVW2DsrnIvnl4&s=0', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e80f5c5603438ab5e251b'), 'title': 'Graduate 2024 Machine Learning Engineer I, San Francisco', 'company_name': 'Uber', 'location': 'San Francisco, CA', 'via': 'via Indeed', 'description': \"About the Role Contributes to the design, development, optimization, and productionization of machine learning (ML) or ML-based solutions and systems that are used within a team to solve well-defined problems leveraging the support and guidance of others on the team. This role also learns to use and improve ML infrastructure for model development, training, deployment needs and scaling ML... systems.\\n\\nAbout the Team\\n\\nML Foundations in Uber Eats is deeply engaged in foundational work that impacts many products within Uber Eats. Our team develops key modeling artifacts critical for our business, including entity classifications, entity resolution, attribute enrichments, semantic similarity and complementary recommendation models, and user profiles. We adopt cutting-edge, robust machine learning building blocks for Uber Eats .\\n\\nWe are on the lookout for individuals who demonstrate exceptional problem-solving skills, critical thinking, and a strong foundation in coding. Ideal This role offers the opportunity to work across all levels of the ML stack, spanning from infrastructure to ML model development and productionisation.\\n\\nWhat the Candidate Will Do\\n• Develop and productionize machine learning algorithms for multiple business problems\\n• Deeply engage with product datasets analyze them to understand and drive product insights, further model iterations.\\n• Continuously innovate and apply state-of-the-art ML algorithms at Uber Scale.\\n• Establish best practices and improve the rigor and bar of ML in Uber Eats\\n\\nMinimum Qualifications\\n\\nCompleting a Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics, or a related field, plus a 3-months total software engineering experience gained through work, education, coursework, training, research or similar in any area.\\n• Proficiency in one or more object-oriented programming languages such as Python, Go, Java, C++.\\n• Experience with big-data architecture, ETL frameworks, and platforms (e.g., Hive, Spark, Presto)\\n• Working knowledge of contemporary machine learning and deep learning frameworks (e.g. PyTorch, TensorFlow, JAX).\\n\\nPreferred Qualifications\\n• Multimodal Classification (Natural Language Processing, Computer Vision)\\n• Experience building reusable embeddings, applications and fine tuning of large language models.\\n• Deep understanding of all aspects of machine learning model lifecycles (from prototypes, feature engineering, training, inference, deployment, monitoring).\\n• Strong statistical and experimental foundation and acumen to develop insights from data.\\n\\nAt Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world!\\n\\nWe welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have a curiosity, passion and collaborative spirit, work with us, and let's move the world forward, together!\\n\\nUber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.\\n\\nIf you have a disability or special need that requires accommodation, please let us know by completing this form \", 'extensions': ['2 days ago', '140K a year', 'Full-time'], 'detected_extensions': {'posted_at': '2 days ago', 'salary': '140K a year', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'http://www.uber.com/', 'text': 'uber.com'}, {'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&hl=en&q=Uber&sa=X&ved=0ahUKEwj4lKvW84OGAxU0FFkFHTwTBxgQmJACCPEK', 'text': 'See web results for Uber'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJHcmFkdWF0ZSAyMDI0IE1hY2hpbmUgTGVhcm5pbmcgRW5naW5lZXIgSSwgU2FuIEZyYW5jaXNjbyIsImNvbXBhbnlfbmFtZSI6IlViZXIiLCJodGlkb2NpZCI6IklXWk5vS0xId2Z4RjRoSXRBQUFBQUE9PSIsInEiOiJNYWNoaW5lIExlYXJuaW5nIEVuZ2luZWVyIFNhbiBGcmFuY2lzY28gQ0EifQ==', 'thumbnail': 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSSkhiANVLt_R92CpQXTrYM085lI0YP1CRfQyD2&s=0', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e8129c5603438ab5e2528'), 'title': 'Machine Learning Engineer, Glue AI and Platform Excellence team', 'company_name': 'Amazon.com Services LLC', 'location': 'Palo Alto, CA', 'via': 'via Palo Alto CA Geebo.com Free Classifieds Ads - Geebo', 'description': \"The Company:\\nAmazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing.\\nOur web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world...\\nThese customers range from start-ups to leading web companies to Global 500 companies.\\nThe Group:\\nAWS Analytics team provides rapidly growing, industry acclaimed cloud services in areas of big data platforms to data analytics to operational databases.\\nThe group is at the forefront of innovation in these areas producing world-class cloud services such as Glue, Lake Formation, Redshift, EMR, Elastic Search, and many more.\\nThe Team:\\nAWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development.\\nOur mission is to redefine how data analytics is done in Cloud and make it easy and fast for customers to query their data.\\nAWS Glue provides all of the capabilities needed for serverless data integration so that you can start analyzing your data and putting it to use in minutes instead of months.\\nWe are building the next generation generative data integration platform - Amazon Q data integration in AWS Glue, a data workflow system to enable customers to stitch data operations with natural language prompts (visually and programmatically), and performant dataplane.\\nWe are scaling the backend infrastructure to enable super-low latencies workloads at a cloud scale.\\nThe teams owns both the product & backend and it's a unique experience.\\nAmazon Q data integration in AWS Glue enables you to build data integration pipelines using natural language.\\nDescribe your intent through a chat interface, Amazon Q data integration in AWS Glue will generate a complete job.\\nYou can test the job and put it into production with a single click.\\nWhen errors occur, you can troubleshoot them, without having to dive deep into documentation, blogs, and reference materials.\\nAmazon Q data integration in AWS Glue provides you instant SME guidance throughput your data integration journey.\\nYou do not need to be an Apache Spark or SQL expert, or wait for an expert to answer your questions.\\nIn this role, you will:\\nInnovate at the Intersection of AI and Software Development:\\nPlay a pivotal role in the continuous development of Amazon Q.\\nYour work will directly contribute to advancements in AI-driven development tools.\\nLeverage Advanced AI Techniques:\\nUtilize and understand machine learning techniques, prompt engineering, and agent-based workflows.\\nYour role will require a blend of research acumen and practical engineering skills.\\nWork with Cutting-Edge Technologies:\\nEngage with information retrieval systems, knowledge graphs, and large language models (LLMs).\\nThese technologies are central to our product and your role.\\nTop reasons to join our team:\\nBe catalyst to deliver a truly disruptive product(s) that are growing rapidly You get to define, build, own, and run a service in high growth envrionment Solve unique and first-order problems in areas of Generative AI, Data Integration, Big Data, Serverless computing, Spark, Distributed Systems and Machine Learning Learn how to build ML models for distributed systems problems Be part of big data revolution in cloud Influence and build products that will leverage scale of resources to run serverless big data workloadsAbout you:\\nPassionate in building large scale distributed systems, serverless compute, and big data systems Thrive in culture of ownership, delivery and bias for action Fast pace environment energizes you to be at your best Innovate and invent in agile and collaborative environment Curious and eager to learn to expect more of you and others\\nResponsibilities:\\nDevelop and Enhance AI-Powered Software Tools:\\nContribute to the development of Amazon Q data integration in AWS Glue, ensuring it remains at the forefront of generative AI technology.\\nResearch and Engineering Integration:\\nApply the latest findings in machine learning and AI to practical software development challenges.\\nYour work will be a blend of research and real-world application.\\nCollaborate with Cross-Functional Teams:\\nWork alongside a diverse group of professionals, including researchers and scientists, to integrate cutting-edge AI technologies into our software solutions.\\nInnovate and Implement AI Solutions:\\nBe actively involved in the ideation and implementation of new features, leveraging your understanding of AI and machine learning.\\nEnsure High-Quality Software Standards:\\nUphold our high standards in software development, focusing on the reliability, scalability, and performance of our AI-powered tools.\\nInclusive Team Culture Here at AWS, we embrace our differences.\\nWe are committed to furthering our culture of inclusion.\\nWe have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally.\\nWe have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.\\nAmazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.\\nWork/Life Balance Our team puts a high value on work-life balance.\\nIt isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life.\\nWe believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.\\nWe offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.\\nMentorship & Career Growth Our team is dedicated to supporting new members.\\nWe have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship.\\nOur senior members enjoy one-on-one mentoring and thorough, but kind, code reviews.\\nWe care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.\\nEngineering Blogs and Videos from Team1.\\nAmazon Q data integration in AWS Glue:\\nhttps:\\n//aws.\\namazon.\\ncom/glue/amazon-q-integration-generative-ai/2.\\nThe Story of AWS Glue (VLDB 2023 paper):\\nhttps:\\n//www.\\namazon.\\nscience/publications/the-story-of-aws-glue3.\\nAWS Glue 4.\\n0:\\nhttps:\\n//aws.\\namazon.\\ncom/blogs/aws/new-aws-glue-4-0-new-and-updated-engines-more-data-formats-and-more/4.\\nGlue Studio:\\nhttps:\\n//www.\\nyoutube.\\ncom/watch?v=KkN8lQ-jr58We are open to hiring candidates to work out of one of the following locations:\\nEast Palo Alto, CA, USA.\\nEstimated Salary: $20 to $28 per hour based on qualifications\", 'extensions': ['3 days ago', '20–28 an hour', 'Full-time'], 'detected_extensions': {'posted_at': '3 days ago', 'salary': '20–28 an hour', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&sca_upv=1&hl=en&q=Amazon.com+Services+LLC&sa=X&ved=0ahUKEwjinZnw84OGAxVskokEHQLxCqMQmJACCIwM', 'text': 'See web results for Amazon.com Services LLC'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJNYWNoaW5lIExlYXJuaW5nIEVuZ2luZWVyLCBHbHVlIEFJIGFuZCBQbGF0Zm9ybSBFeGNlbGxlbmNlIHRlYW0iLCJjb21wYW55X25hbWUiOiJBbWF6b24uY29tIFNlcnZpY2VzIExMQyIsImh0aWRvY2lkIjoiUEphX1hkRDM1bjMzM1hfSkFBQUFBQT09IiwicSI6IkFJIEdlbiBFbmdpbmVlciBQYWxvIEFsdG8gQ0EifQ==', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e812ac5603438ab5e252c'), 'title': 'OEM Applications Systems Engineer at Argo AI in Palo Alto, CA', 'company_name': 'Argo Ai', 'location': 'Palo Alto, CA', 'via': 'via Palo Alto CA Geebo.com Free Classifieds Ads - Geebo', 'description': \"Who we are:\\nArgo AI is in the business of building self-driving technology you can trust. With experienced leaders in the field and collaborative partnerships with some of the world's largest automakers, we're building self-driving technology that is engineered to scale globally and transform mobility for millions. Talented individuals join our team because they share our purpose to make it safe, easy, and enjoyable for everyone to get around cities. We aspire to impact key industries that move people and goods, from ride hailing to deliveries. Meet the team:\\nAt Argo AI Systems Engineers work on our onboard autonomy suite, the integration with the vehicle, or the cloud based systems.They define and study multiple alternative architectures, perform trade studies, flow down requirements, establish design verification methods, and make data-based recommendations. They work cross-functionally and team up with Argo Teams (Hardware, Software, Safety, Verification & Validation, Product, and... more) and OEM teams. They master rigorous yet efficient systems engineering practices. They have strong leadership abilities and communication skills to gather consensus amongst the relevant stakeholders and communicate findings in order to drive key decisions within Argo AI's fast-paced autonomous vehicle program. What you'll do:\\nWork with function owners to plan, coordinate and maintain requirement quality, traceability and delivery to our OEM customer Coordinate required requirement updates in our requirements tool (JAMA) and ensure process updates are followed by the team Work with our requirements manager to implement requirement process improvements Work with IT to enable automated requirement import/export issues between Argo and our OEM partner (using ReqIF) Create a requirements release plan for each vehicle generation that accounts for internal Argo and OEM milestones Identify blockers, ensure requirements / V&V coverage and drive internal SW implementation Perform regular quality checks for releases to OEM and internal customers Develop and track requirements progress and metrics (i.e. approval status, coverage, etc) Lead ingest of OEM requirements into the Argo requirements tool, on schedule and coordinate requirements classifications w/ receiving teams What you'll need to succeed:\\nDegree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field Expertise in requirements quality, processes and tools (3\\nyears minimum experience) Previous experience with requirements management tools (e.g. Doors, Polarion, Jama (preferred)) Expertise in architecture design and specifications for high performance robotic systems, autonomous vehicles, aerospace, automotive or large-scale computing and data systems Strong systems engineering and associated standards knowledge (Incose, ISO 26262, ISO 15288, ARP 4754, DO-178) Strong communication skills and leadership abilities to work with cross-functional engineering teams and drive towards decisions Expertise with formal systems engineering analysis methods( i.e. FMEAs) Nice to haves:\\n5\\nyears experience in requirements quality, processes and tools Previous experience leading requirements engineering Previous experience in systems engineering Previous experience in Embedded Software, or as a system software engineer Previous experience with Autosar Previous experience with automotive diagnostics Previous experience in network architecture Applied experience in ISO-26262 What we offer you:\\nHigh-quality individual and family medical, dental, and vision insurance Competitive compensation packages Employer-matched 401(k) retirement plan with immediate vesting Employer-paid group term life insurance and the option to elect voluntary life insurance Paid parental leave Paid medical leave Unlimited vacation Complimentary daily lunches, beverages, and snacks Pre-tax commuter benefits Monthly wellness stipend Professional development reimbursement Employee assistance program Discounted programs that include legal services, identity theft protection, pet insurance, and more Company and team bonding outlets:\\nemployee resource groups, quarterly team activity stipend, and wellness initiatives\\nSalary Range:\\n$100K -- $150K\\nMinimum Qualification\\nSystems Architecture & EngineeringEstimated Salary: $20 to $28 per hour based on qualifications\", 'extensions': ['3 days ago', '20–28 an hour', 'Full-time', 'Health insurance', 'Dental insurance', 'Paid time off'], 'detected_extensions': {'posted_at': '3 days ago', 'salary': '20–28 an hour', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'http://www.argo.ai/', 'text': 'argo.ai'}, {'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&sca_upv=1&hl=en&q=Argo+Ai&sa=X&ved=0ahUKEwjinZnw84OGAxVskokEHQLxCqMQmJACCLYO', 'text': 'See web results for Argo Ai'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJPRU0gQXBwbGljYXRpb25zIFN5c3RlbXMgRW5naW5lZXIgYXQgQXJnbyBBSSBpbiBQYWxvIEFsdG8sIENBIiwiY29tcGFueV9uYW1lIjoiQXJnbyBBaSIsImh0aWRvY2lkIjoiaTA3NHBLNGNzcnpjNEIyWkFBQUFBQT09IiwicSI6IkFJIEdlbiBFbmdpbmVlciBQYWxvIEFsdG8gQ0EifQ==', 'thumbnail': 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcS8vjbglaj-suJMHH53NwQ6d25YCGJg21kwrJN7&s=0', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e817ac5603438ab5e252f'), 'title': 'MLOps Engineer', 'company_name': 'Harnham', 'location': 'San Francisco, CA', 'via': 'via LinkedIn', 'description': 'MLOps Engineer\\n\\nBay Area, CA $200,000 - $250,000 + Competitive Benefits...\\n• Are you seeking an opportunity to work with an exclusive tech startup? This fast-growing startup is looking to build out their full machine learning engineering and machine learning operations team!\\n\\nTHE COMPANY\\n\\nThis expansive startup prides itself on working on mass amounts of data. There’s a huge opportunity for growth in this company as you will be working hands-on with passionate individuals on complex problems.\\n\\nTHE ROLE\\n\\nAs a MLOps Engineer you will…\\n• Work with the team to architect and end to end entire AI Engineering platform that allows for deployment and scalability of machine learning models\\n• Build tools and capabilities for model management and model performance monitoring\\n• Build tools and capabilities to support the full ML lifecycle and efficiency of ML models\\n\\nYOUR SKILLS AND EXPERIENCE\\n• 5+ years of full time experience\\n• Strong software engineering background with an understanding of machine learning\\n• Experience working with large scale systems and with consumer data\\n• Experience in big data technologies\\n• Experience building or working on a machine learning platform\\n• Tools: Python, AWS, Kubernetes, Kubeflow\\n\\nTHE BENEFITS\\n\\nAs a MLOps Engineer, you can expect a base salary between $200,000 to $250,000 (based on experience) plus competitive benefits.\\n\\nHOW TO APPLY\\n\\nPlease register your interest by sending your CV to Kristianna Chung via the Apply link on this page', 'extensions': ['21 days ago', '200K–250K a year', 'Full-time'], 'detected_extensions': {'posted_at': '21 days ago', 'salary': '200K–250K a year', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'http://harnham.com/', 'text': 'harnham.com'}, {'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&sca_upv=1&hl=en&q=Harnham&sa=X&ved=0ahUKEwigkumW9IOGAxUWMtAFHV3iDeYQmJACCNwJ', 'text': 'See web results for Harnham'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJNTE9wcyBFbmdpbmVlciIsImNvbXBhbnlfbmFtZSI6Ikhhcm5oYW0iLCJodGlkb2NpZCI6InFjTUhtVjktZ0FmM1NzUS1BQUFBQUE9PSIsInEiOiJNTCBPcHMgU2FuIEZyYW5jaXNjbyBDQSJ9', 'thumbnail': 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRSom1UrYd1teIlz6RlzpnKk8cRRgRXWhfM2PbM&s=0', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e817ac5603438ab5e2530'), 'title': 'MLOps Engineer', 'company_name': 'DeepRec.ai', 'location': 'San Francisco, CA', 'via': 'via LinkedIn', 'description': \"Job Title: MLOps Engineer - Visual Generative AI\\n\\nHybrid: San Francisco...\\n\\nJoin a pioneering visual Generative AI company at the forefront of innovation. We specialize in leveraging cutting-edge technologies to create stunning visual content, pushing the boundaries of creativity and imagination. We're seeking a talented MLOps Engineer to join our dynamic team and drive optimization, cost reduction, throughput enhancement, and rapid delivery of our groundbreaking projects.\\n\\nAbout the Role:\\n\\nAs an MLOps Engineer, you'll play a critical role in optimizing orchestration processes, reducing costs, upgrading throughput, and ensuring fast and efficient project delivery. You'll work closely with our engineering and data science teams to streamline our machine learning operations pipeline and implement best practices for managing and deploying our visual Generative AI models.\\n\\nResponsibilities:\\n• Optimize orchestration processes to ensure efficient deployment and management of AI models.\\n• Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance.\\n• Upgrade throughput to enhance the scalability and responsiveness of our AI systems.\\n• Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency.\\n• Ship new features and updates rapidly, maintaining a high level of quality and reliability.\\n\\nRequirements:\\n• Extensive experience as an MLOps Engineer or similar role, with a proven track record of optimizing machine learning pipelines and infrastructure.\\n• Strong background in working with video data and processing pipelines.\\n• Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).\\n• Experience with orchestration tools and frameworks such as Airflow, Kubeflow, or MLflow.\\n• Excellent problem-solving skills and the ability to troubleshoot complex issues in a fast-paced environment.\\n• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.\\n\\nWhy Join Us:\\n• Be part of a visionary team driving innovation in visual Generative AI.\\n• Work on cutting-edge projects that push the boundaries of creativity and imagination.\\n• Enjoy a dynamic and collaborative work environment where your ideas are valued and encouraged.\\n• Take on exciting challenges and make a meaningful impact on the future of AI and creative technology.\\n\\nPlease apply for more details\", 'extensions': ['2 days ago', '180K–250K a year', 'Full-time'], 'detected_extensions': {'posted_at': '2 days ago', 'salary': '180K–250K a year', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&sca_upv=1&hl=en&q=DeepRec.ai&sa=X&ved=0ahUKEwigkumW9IOGAxUWMtAFHV3iDeYQmJACCK8K', 'text': 'See web results for DeepRec.ai'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJNTE9wcyBFbmdpbmVlciIsImNvbXBhbnlfbmFtZSI6IkRlZXBSZWMuYWkiLCJodGlkb2NpZCI6IlNBQklyNHZPVGVRWndqYWNBQUFBQUE9PSIsInEiOiJNTCBPcHMgU2FuIEZyYW5jaXNjbyBDQSJ9', 'thumbnail': 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRzRaCPW0hT_S_xGu-b0ESYaSZtsU-F7AIbyZL0&s=0', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e817ac5603438ab5e2534'), 'title': 'ML Ops Engineer (100% Remote)', 'company_name': 'Jobot', 'location': 'San Francisco, CA', 'via': 'via Monster', 'description': 'Seed stage startup offering salary and generous equity - work remote from anywhere!\\n\\nThis Jobot Job is hosted by: Karyn Spies...\\nAre you a fit? Easy Apply now by clicking the \"Quick Apply\" button\\nand sending us your resume.\\nSalary: $150,000 - $200,000 per year\\n\\nA bit about us:\\n\\nCompany at the forefront of the intersection between artificial intelligence (AI) and gaming, offering innovative solutions and immersive experiences to our users. Our AI character studio allows users to create, interact with, and share AI characters which have varying skills - from seeing everything on your screen to interacting with these characters in AR/VR. We have been growing steadily and now it\\'s time to 100x our growth.\\n\\nWhy join us?\\n\\nYou\\'ll be part of a creative team that\\'s passionate about pushing the boundaries of AI and gaming. We have been pushing the boundaries of what\\'s possible and have been covered by the leading press for our efforts.\\n\\nWe offer a collaborative environment where your ideas and leadership can shape the future of our products and community. With us, you\\'ll have the opportunity to make a significant impact in an exciting, fast-growing industry.\\n\\nJob Details\\n\\nResponsibilities:\\n• Architecting and deploying open source models at scale.\\n• Model and inference optimization and server configuration and deployment with an emphasis on stability, scalability, and speed of inference/generation.\\n• Open source model evaluation.\\n• Building fine-tuning datasets and LoRAs.\\n• Providing best practices and executing POC for automated and efficient model operations at scale.\\n\\nQualifications:\\n• 5+ years of experience in ML Ops or a related field.\\n• 3+ years of experience in managing machine learning projects end-to-end.\\n• Recent focus (at least 18 months) on text generation models at scale.\\n• Monitoring Build & Production systems using automated monitoring and alarm tools.\\n• Knowledge of machine learning frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn.\\n• Experience with running large scale inference services at scale: NVIDIA Triton, TGI, vLLM\\n• Experience with container technologies (Docker, Kubernetes, EKS, ECS).\\n• Experience with multiple cloud providers (AWS, GCP, Azure, etc).\\n• Experience in distributed computing.\\n• Experience with a wide range of ML Models (Text Generation, Classification, OCR, Object Detection, Stable Diffusion)\\n• Proven track record of building and managing ML pipelines, including data preparation, model training, deployment, and monitoring.\\n• Solid foundation in DevOps principles and practices with experience in CI/CD pipelines for ML deployments.\\n• Solid programming skills with at least some of the following: C, C++, Rust, Python, JavaScript\\n• Experience with model performance monitoring and troubleshooting.\\n• Passion for ML and its potential to solve real-world problems.\\n\\nInterested in hearing more? Easy Apply now by clicking the \"Quick Apply\" button.\\n\\nBenefits:\\n401K, Employee Events, Employee Referral Program, Flexible Schedules, Free Food and Coffee, Game Rooms, Life Insurance, Maternity/Paternity Paid Leave, Medical, Dental and Vision, On Site Cafeteria, Paid Holidays, Paid sick days, Parking , Performance bonus, Professional Development, Retirement / Pension Plans, Vacation/paid time off, Work From Home\\n\\nAbout the Company:\\nJobot\\n\\nCompany Size:\\n500 to 999 employees\\n\\nIndustry:\\nEnergy and Utilities\\n\\nFounded:\\n2018\\n\\nWebsite:\\nhttps://jobot.com', 'extensions': ['22 days ago', '150K–200K a year', 'Full-time', 'Health insurance', 'Dental insurance', 'Paid time off'], 'detected_extensions': {'posted_at': '22 days ago', 'salary': '150K–200K a year', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&sca_upv=1&hl=en&q=Jobot&sa=X&ved=0ahUKEwigkumW9IOGAxUWMtAFHV3iDeYQmJACCIIN', 'text': 'See web results for Jobot'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJNTCBPcHMgRW5naW5lZXIgKDEwMCUgUmVtb3RlKSIsImNvbXBhbnlfbmFtZSI6IkpvYm90IiwiaHRpZG9jaWQiOiJQVzlKRWhUWVFsNFFFWDdCQUFBQUFBPT0iLCJxIjoiTUwgT3BzIFNhbiBGcmFuY2lzY28gQ0EifQ==', 'retrieve_date': '2024-05-10'}\n",
+      "{'_id': ObjectId('663e818a7982e30a56813421'), 'title': 'Data Scientist', 'company_name': 'Aurora Innovation', 'location': 'San Francisco, CA', 'via': 'via Indeed', 'description': \"Who We Are\\n\\nAurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, increasingly accessible, and more reliable and efficient than ever before. The Aurora Driver is a self-driving system designed to operate multiple vehicle types, from freight-hauling semi-trucks to ride-hailing passenger vehicles, and underpins Aurora... Horizon and Aurora Connect, its driver-as-a-service products for trucking and ride-hailing. Aurora is working with industry leaders across the transportation ecosystem, including Toyota, FedEx, Volvo Trucks, PACCAR, Uber, Uber Freight, U.S. Xpress, Werner, Covenant, Schneider, and Ryder. For Aurora's latest news, visit aurora.tech and @aurora_inno on Twitter.\\n\\nOn the Aurora Data Science team, you will join a world-class group whose mission is generating insights and intelligence to improve the Aurora Driver and help accelerate our path towards safe and broad commercialization of Autonomous Vehicle technology. We are looking for an exceptional Data Scientist that can play a key role in accelerating the development of the Aurora Driver by contributing towards the automation, monitoring, and analysis of our development and operational processes. This is an opportunity to leverage vast amounts of data from both online (on-road) and offline (simulation) test modalities to help Aurora achieve its product and commercialization goals.\\n\\nThe ideal candidate will be someone who thrives working cross-functionally, getting things done, and has an ability to navigate complex and exciting projects with our partner Software, Hardware, and Operations teams. If your passions align with working on cutting edge Data Science projects to deliver impactful analysis, tools, and workflows that will transform the Transportation space, then joining Aurora Data Science is the perfect opportunity for you.\\n\\nIn this role, you will\\n• Work with our Engineering and Operations teams to inform the development of the Aurora Driver and streamline critical validation activities\\n• Partner closely with those stakeholders to design and implement metrics and dashboards to accelerate their development processes and help them measure, understand, and improve their performance\\n• Collaborate with a team of world-class Data Scientist and Analysts on Data Science problems spanning multiple subsystems (eg. Motion Planning, Perception, Controls, etc.)\\n• Develop statistical models to support forecasting and planning across a variety of problem areas\\n• Work closely with engineering, operations, and business leads to support their decisions with data-driven input\\n• Collaborate with our Data Science and Engineering communities to ensure the adoption of best practices and suggest improvements\\n\\nRequired Qualifications\\n• 2-4+ years of experience as a Data Scientist, Analyst or similar technical role\\n• Demonstrable proficiency in coding, programming concepts, and technical tools, combined with the enthusiasm and passion to build. Must be strong using Python\\n• Strong knowledge and experience using relational databases (SQL, PostgreSQL, etc.) and familiarity with best practices for Data Engineering\\n• Knowledge and experience with both common and advanced Data Science, inference, and statistical modeling tools (eg. numpy, sklearn, pytorch, etc.)\\n• Experience with taking Data Science analysis end-to-end, working closely with Engineering to productionize pipelines, and surface insights in a scalable way\\n• Proven ability to communicate technical, data-driven analysis to both technical and non-technical audiences across stakeholders, including translating and cascading Executive input into their work\\n\\nDesirable Qualifications\\n• Advanced degree (MS or PhD) in Statistics, Computer Science, Operations Research, Economics, or a related quantitative field\\n• Experience working with data transformation tools such as DBT\\n• Experience working on ETL pipelines and leveraging big data engines\\n• Experience using Amazon Web Services (AWS) tools\\n• Experience in the Autonomous Vehicle, Robotics, or Advanced Transportation spaces\\n\\nThe base salary range for this position is $168k-$252K per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.\\n\\n#LI-SP1\\n\\n#Mid-Senior\\n\\nWorking at Aurora\\n\\nAt Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.\\n\\nWe have offices in several locations across the United States, where we encourage team and cross-functional collaboration. Aurora offers competitive medical, dental, and vision benefits, and additional healthcare support including medical transportation reimbursement, fertility, adoption, and surrogacy benefits. We empower our employees and their families with options to further their unique physical, mental, and financial well-being.\\n\\nOur Learning and Development offerings include Aurora Academy, where our people learn, develop, and practice the essential skills that drive Aurora's mission, continually up-leveling our team along the way. Our Careers page provides insight into career opportunities at Aurora, and you can find all the latest news on our Blog.\\n\\nSafety is central to everything we do. Every employee at Aurora has a role in contributing to safety, every step of the way. We seek candidates who take active responsibility, can contribute to building an atmosphere of trust, and invest in the organization's long-term success by working safely — no matter what.\\n\\nWe believe that self-driving technology has broad benefits – including increased access to transportation. To realize those benefits, we need a workforce with diverse experiences, insights, and perspectives — a workforce that reflects the communities our technology will serve.\\n\\nAurora is committed to providing access to anyone who seeks information from our website. We invite anyone using assistive technologies, such as a screen reader or Braille reader, to email us at careersiteaccommodations@aurora.tech if they experience difficulty using our website. Please describe the accessibility problem and include a URL (if available).\\n\\nAurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech.\\n\\nFor California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora's California Employment Privacy Policy.\\n\\nDiversity, Equity and Inclusion\\n\\nAt Aurora, every employee is empowered to take an active role in building an inclusive, collaborative, and unified culture that leverages our diverse strengths, perspectives, and backgrounds.\\n\\nTransforming how the world moves people and goods involves seeking to understand backgrounds, insights, and lived experiences that differ from our own. One way we accomplish that is with our 15 employee-led Aurora Unified Groups, which support diverse voices and drive inclusive collaboration. We believe that teamwork, belonging, and trust motivate and support our employees to do their best work. As our team grows, we strive to attract and retain exceptional talent that adds new perspectives and experiences and continues to drive innovation. Learn more on our Culture Page.\\n\\nWe are committed to helping qualified military community members leverage their talents in service of our mission. To understand how your military experience aligns with career opportunities at Aurora, review your military job classification at MyNextMove.org and consider applying for open positions corresponding to your identified skills and experiences\", 'extensions': ['1 day ago', '168K–252K a year', 'Full-time', 'Health insurance', 'Dental insurance'], 'detected_extensions': {'posted_at': '1 day ago', 'salary': '168K–252K a year', 'schedule_type': 'Full-time'}, 'related_links': [{'link': 'http://y.reinventtechnologypartners.com/about', 'text': 'y.reinventtechnologypartners.com/about'}, {'link': 'https://www.google.com/search?sca_esv=b2746cf197726f04&sca_upv=1&hl=en&q=Aurora+Innovation&sa=X&ved=0ahUKEwjq2dud9IOGAxWFxOYEHZuQA1sQmJACCKYM', 'text': 'See web results for Aurora Innovation'}], 'job_id': 'eyJqb2JfdGl0bGUiOiJEYXRhIFNjaWVudGlzdCIsImNvbXBhbnlfbmFtZSI6IkF1cm9yYSBJbm5vdmF0aW9uIiwiaHRpZG9jaWQiOiJGdzRZUjAyVDZjbXR6cm81QUFBQUFBPT0iLCJxIjoiRGF0YSBTY2llbnRpc3QgU2FuIEZyYW5jaXNjbywgQ0EifQ==', 'thumbnail': 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRIm2JQ6LTL4DBLX4IHteAFkpIL4qYJAy4rusjb&s=0', 'retrieve_date': '2024-05-10'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "client = MongoClient(mongodb_conn)\n",
+    "db = client.job_search_db\n",
+    "collection = db['sf_bay_test_jobs']\n",
+    "\n",
+    "query = {\n",
+    "    'location': {'$in': ['San Francisco, CA', 'Palo Alto, CA']},\n",
+    "    'detected_extensions.salary': {'$exists': True}\n",
+    "}\n",
+    "\n",
+    "results = collection.find(query)\n",
+    "\n",
+    "for result in results:\n",
+    "    print(result)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# print each result in results\n",
+    "for result in results:\n",
+    "    print(result)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,