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As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis.
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As a Machine Learning Engineer, you’ll be helping to build intelligent document recommendation and search tools that help our users find the legal precedent they need. If you have industry experience developing production software for machine learning, especially in areas like recommendation engines, natural language processing, and deep learning for text data, we'd love to talk to you.
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Skills that the student will gain or get exposure to are: Python, PySpark, Databricks, AWS, FastAPI, DynamoDB, Machine Learning, A/B testing, Data Analysis, Feature Engineering, System design and architecture.
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You will have the opportunity to - build enterprise products that solve real world problems by leveraging our machine learning platform, build the foundational frameworks and services which abstract away the product needs and provide scalable and reliable building blocks, build the enterprise data platform for various product needs.
$249,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proven experience as a Full Stack Machine Learning Engineer or similar role. Integrate machine learning models with cloud-based platforms and/or embedded systems for deployment in production environments.
$205,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
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Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, programming systems, and machine learning. Good understanding of Machine Learning and Deep Learning technologies.
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Here you will explore novel and advanced machine learning methods to solve practical real-world challenging problems in autonomous driving. You have subject matter expertise and research in one or more of the following areas: scalable generative and diffusion models, generative model alignment with reward/cost models, controllability, distillation, mode recovery, fine-tuning with closed-loop RL, applications to autonomous driving and robotics, and other experiences such as video generation, text-to-image generation, in-painting/out-painting and so on.
$250,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems.
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Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience. - exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency.
$359,720 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are looking for experience in mechatronics (mechanical-electrical-software machine/fixture design), electromechanical fixture design, and motion control and NX. This experience is most important.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Advanced degree in linguistics, computer science, machine learning, cognitive science, psychology, economics, or similar (preferred). Collaborate with cross-functional teams to precisely define the evaluation requirements necessary for Machine Learning/ Large Language Model implementation across different projects.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Experience with a variety of BI and Analytics platforms like Power BI, Tableau, DOMO, Looker, Alteryx, and advanced statistical analysis tools like SAS or SSPS.
$299,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
$230,000Full-timeExpandApply NowActive JobUpdated Today
machine learning jobs Title: electrical engineer in Mountain View, CA
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