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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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High Maturity Practices ,Data Science ,Machine Learning ,SQL. Data Science ,Machine Learning Domain Skills. Using machine learning tools to select features, create and optimize classifiers.
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We are looking for a Staff Technical Recruiter with expertise in recruiting top talent in Artificial Intelligence (AI), Machine Learning (ML), and Search technologies. Strategic Sourcing & Recruitment: Develop and execute recruitment strategies to attract top-tier AI, ML, and Search talent, including software engineers, data scientists, and machine learning experts.
$200,000 a yearFull-timeExpandUpdated 6 days ago - UpvoteDownvoteShare Job
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FEA Engineer / Software Engineer / Machine Learning Engineer. The ideal candidate will have a strong foundation in both FEA and modern deep learning techniques, hands-on experience in designing and training ML models, and a proven track record of deploying models in applications such as computer vision.
$82.96 an hourExpandUpdated 6 days ago - UpvoteDownvoteShare Job
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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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They have opportunities to work with AE faculty and NASA engineers to design, build, test, and launch microsatellites like the [TechEdSat]( participate in the design, building, and testing of our brand new hypersonic facility, learn how to use machine/deep learning for structural health monitoring, optimize spacecraft trajectories or explore the potential of electric and hybrid propulsion systems for general aviation, commuter, and large air transports.
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Strong familiarity with OpenCV and practical project experience, as well as proficiency in machine learning frameworks (such as PyTorch, LibTorch, TensorFlow). Image Processing and Optimization: Develop deep learning algorithms for image dehazing, denoising, shadow removal, distortion correction, and color correction to improve image quality.
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Experience with; Embedded CPU subsystem and architecture; High-speed digital signal processing, computer vision, or machine learning; High-performance serial interface protocols; Low-power design methodology; mixed-signal design; FPGA prototyping.
$200,000 a yearFull-timeExpandUpdated 7 days ago - UpvoteDownvoteShare Job
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Research and develop hybrid machine learning and physics-based software solutions for semiconductor device and thin film metrology. Hands-on experience in machine learning and TensorFlow framework.
$253,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep knowledge in machine learning optimizations such as quantization, pruning, knowledge distillation, Neural Architecture Search (NAS), and optimizations for large models. - Employ efficient machine learning techniques and hardware optimizations to improve algorithmic performance.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Course topics range from computer hardware design and embedded systems to software design and construction of real-time systems, virtual systems, enterprise software, artificial intelligence, and machine learning, robotics, and data mining.
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Javascript, WebDevelopment FrameWorks like Reach, Svelte , Jenkins / Spinnaker, Artifactory, RESTful APIs, Elasticsearch, building machine learning systems is a plus. Work with technology and product teams to develop analysis tools and machine learning models.
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As a core member of the NLP team, you will research, prototype, develop, deploy and scale innovative Machine Learning/Deep Learning solutions in collaboration with Linguistic Experts and Product Management teams.
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The Content Ecology team aims to leverage AI and machine learning algorithms to build a suite of strategic models and platform solutions that enhance user experience across various sub-businesses under the short video business line.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning jobs Title: electrical engineer in Santa Clara, CA
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