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MS or PhD in a quantitative discipline (e.g., computer science, biomedical informatics, machine learning, statistics, computational biology, applied mathematics, or a related field.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
$283,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Bachelors degree in Computer Science, Computer Engineering or a technical field. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences.
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To lay audiences Preferred skills: experience designing and maintaining RDBMS using PostgreSQL including the application of proper data modeling principles and database tuning at scale Preferred skills: experience with Linux operating system and with shell scripting (i.e., bash, PowerShell) Preferred skills: familiarity of advanced data analysis techniques (i.e., natural language processing, machine learning, etc.
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And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. On-site wellness, fitness center, food, and coffee service.
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If you do not have a current/active DOD Secret clearance, please do not apply)Work location: work 5 days a week Monday - Friday on the client site in Tampa, FL. This is not a remote/hybrid role.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
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As an Applied Research Scientist, you will be applying innovative data science and graph learning algorithms to generate insights from large-scale computer networks to solve cybersecurity issues faced by businesses of all scales.
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We combine best of breed engineering practices, subject matter expertise, design services, computer science, and data analytics with innovative approaches in artificial intelligence and machine learning, AR/VR, R&D, and physics-based modeling and simulation providing tailored solutions addressing our customer’s unique threatrequirements.
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ABSC is seeking a Level III Programmatic Financial Expert with Business Automation capabilities to work on-site in Northern, Virginia to support the CDAO. From machine learning software development to program and project management, the CDAO is looking for world-class talent driven to tackle tough challenges at the intersection of national security and cutting-edge AI technology.
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Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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Advanced degree in Statistics, Data Science, Engineering, Computer Science, Economics, Operations Research, Mathematics or an equivalent quantitative field. Act as a subject matter expert and trusted advisor in the statistical, optimization and/or machine learning modeling discipline.
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DevOps Machine Learning Software Engineering AI Experience Experience and Requirements Active TS/SCI with poly clearance Bachelor’s degree in Computer Science or related discipline from an accredited college or university (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.
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The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. BS or MS degree in related disciplines, i.e., Computer Science, Engineering, Mathematics, Statistics, Data Science; 10+ years’ experience in data and analytics, or related consulting in consumer financial services, with a proven record of high performance.
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machine learning computer science on site jobs in Anoka, Minnesota
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