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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM’s at Moveworks. Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.
$129,000 - $257,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Machine Learning engineer in the Perception team you will be responsible to design and develop new Machine Learning models for our online perception system and deploy the model on our next-generation autonomous vehicle platform and ultimately to millions of Toyota production vehicles.
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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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3+ years’ experience as a software engineer, Machine Learning engineer, or DevOps engineer (Python preferred) 5+ years’ experience as a software engineer, Machine Learning engineer, or DevOps engineer.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Behavior Prediction, Planner, Maps and Research, ensuring greater degrees of consistency and repeatability, and addressing the "last mile" of getting models into production and managing them once they are in place.
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Google AdX, BigQuery, Machine Learning, and Programmatic Advertising. Conducting experiments on state-of-the-art machine learning models using Tensorflow for real world, large scale problems.
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The Data Scientist will conduct artificial intelligence and machine learning (AI/ML) research and development for a portfolio of NASA applications with focus on aeronautics projects such as Air Traffic Management, Aviation Safety, Sustainable Aviation, and/or Advanced Air Mobility.
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We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics.
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You will be responsible for developing, validating, and implementing cutting-edge machine learning algorithms, including use of Large Language Models (LLM) applied to diverse healthcare data sources, e.g. electronic medical records and to generate medical reports.
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Bachelor’s Degree, or higher-level degree, in Computer Science, Engineering, or related quantitative field that demonstrates knowledge of AI, machine learning, optimization, random processes, sensor signal processing, or mathematical modeling.
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More Full Time Jobs Founding Data Scientist/ Machine Learning Engineer San Francisco. Associate Director/Associate Principal Scientist, Biology San Francisco. Cheminformatics Senior Scientist, ADME San Francisco.
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As a Principal AI/ML Engineer ,you will be responsible forbuilding machine learning based solutions for Data Integration, Data Quality, Master Data Management, Data Governance, and other Information Management solutions.
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You will learn practical modeling skills, as well as software skills to be a successful machine learning engineer. You will identify an applied machine learning problem in the enterprise search and question answering ecosystem.
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postdoc machine learning jobs in Stanford, CA
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