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As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Energy Sciences, Biosciences, Physical Sciences, Computing Sciences, Nanotechnology, Supercomputing, Big Data, Energy Innovation, Science, Climate Change, exascale, computing, environmental science, materials science, Artificial Intelligence, AI, Machine Learning, Climate, Supercomputing, and Basic Science.
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This is an excellent opportunity to shape the future of AI-driven protein design and to work cross-functionally with a diverse team of experts across machine learning, protein engineering, cell biology, and gene editing.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Recognized as one of America’s most promising AI companies by Forbes Magazine, one of the 8 most innovative AI and ML companies by TechRepublic, and recently nominated as a “Cool Vendors in Data for Artificial Intelligence and Machine Learning” by Gartner.
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The Berkeley Lab is seeking a Data Scientist (Computer Systems Engineer 4/5) to spearhead groundbreaking projects at the Computational Cosmology Center (C3). Harness the power of artificial intelligence and machine learning to analyze massive datasets and enhance scientific inference.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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The Machine Learning Experience (MLX) team supports an internally hosted Model Training ecosystem running critical infrastructure for machine learning and data analysis across Capital One. You will get an opportunity to collaborate on the 1000's of models being trained on the platform by 4000+ users and dive deep into the unique engineering challenges we have around compute, data access, security and scale.
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Tackling litigation with technology is a deep challenge that requires search, databases, data visualization, distributed systems, machine learning, real-time collaboration, nifty user interfaces, and more.
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As a Senior ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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The team is leading the Axa Investment Managers' implementation initiatives in Generative AI. *VIE contract is a French International Internship Program, for which only EEA (European Economic Area) citizens are eligible DISCOVER your opportunity As a Junior Machine Learning Engineer, you will play a crucial role in the design, development, and deployment of machine learning models that address our unique challenges.
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Strong academic track record in any field related to machine learning, as evidenced by top-tier publications. Experience with a deep learning framework, such as PyTorch, JAX, TensorFlow.
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The company applies proprietary machine-learning algorithms and data processing resources to measure travel patterns of vehicles, bicycles and pedestrians that enable complex transportation problem solving using analytics available on SaaS platform, StreetLight InSight.
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For more than 15 years, we have led our industry and worked at the frontier of applying machine learning to investment management. As a Production Operations Engineer, you will work at the intersection of production operations and software development as you improve, manage, and monitor production-critical infrastructure and data pipelines.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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Senior Machine Learning Operations and Data Engineer. Machine Learning libraries: Pytorch, Jax, model and data parallelism. We are an ambitious and rapidly growing team pushing the boundaries of what is possible in robotics, leveraging recent, cutting-edge breakthroughs in machine learning-enabled, data-driven robotics.
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machine learning data engineer jobs in Richmond, CA
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