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Senior Deep Learning Software Engineer, LLM Inference. We are now looking for a Senior Deep Learning Software Engineer, Inference! Senior Deep Learning Software Engineer, Inference page is loaded.
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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.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Senior Software Engineer, Machine Learning, Reliability Infrastructure. Understanding of machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or Tensorflow.
$192,000 - $243,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a member of our Mixed-Signal high-speed I/O SerDes group, you'll be working on NVDIA's latest ground breaking technology that enables and accelerates gaming, artificial intelligence, deep learning, and autonomous driving.
$156,000 - $287,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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JOB TITLE: Senior Memory Design Engineer. solid understanding of device physics, process technology and circuit design techniques for high performance, low power. Candidates must have 8-10 years of experience in transistor level circuit design, circuit simulation, equivalence checking, PPA trade off analysis, low power design techniques, timing, noise and power characterization.
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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 Models implementation across different projects.
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Director of Instructional Design and Media Production - Teaching and Learning Center University of California Los Angeles Requisition Number: JPF09024 The Director of Instructional Design and Media Production will advance the UCLA Teaching & Learning Center (TLC) mission to elevate and celebrate inclusive excellence in teaching by engaging our community of educators in equity-minded and research-based teaching practices, instructional innovation, and pedagogical research.
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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The Parking Software Development team is part of the Autonomous Driving team at MBRDNA, and part of the global Mercedes-Benz R&D development team. In Farmington Hills, Michigan, the focus is on Powertrain and eDrive technology as well as in Long Beach, where the teams test durability of the latest driver assistant and telematic systems.
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
$127,300 - $229,300 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience in one or more of the following areas: machine learning, statistics, deep learning, reinforcement learning, experimentation, NLP, computer vision, recommendation system, and other data science domains.
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We are looking for a skilled Machine Learning Engineer to join our Platform Bioinformatics team and help us productize and improve cutting-edge deep-learning solutions. and familiarity with TensorFlow and ONNXRuntime Experience with deploying machine learning models on bare-metal Linux servers.
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Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX. Finally, you will assist in and guide the development of containerized pipeline orchestration infrastructure, including developing and distributing stable base container images, providing advanced profiling and observability, and updating internally maintained versions of deep learning frameworks and their companion libraries like Tensorflow, PyTorch, DeepSpeed, GNNs, Flash Attention and more.
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Machine learning techniques including supervised and unsupervised learning, natural language processing, computer vision, and deep learning. Deploy developed machine learning models to cloud or production.
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You will be supported and encouraged to become a full stack data scientist/machine learning engineer, and you will be given ownership across the entire machine learning lifecycle with a strong emphasis on software engineering principles to deploy your models into production.
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learning job Title: engineer Company: Mygwork in Sunnyvale, CA
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