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Northrop Grumman Mission Systems is seeking a Principal / Sr. Principal Magnetic Bearing Lead Engineer based out of Sunnyvale, CA. This role is part of the advanced development team that will be developing next generation technology and architecture for propulsion and power generation machinery for US Navy submarines.
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We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on prem and in the cloud.
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Similar Jobs (5) Senior Platform Software Engineer, AI Server - GPU locations 2 Locations time type Full time posted on Posted 9 Days Ago Principal Platform Software Engineer - Platform Architect locations 2 Locations time type Full time posted on Posted 16 Days Ago Senior Deep Learning Systems Software Engineer - AI Infrastructure locations 2 Locations time type Full time posted on Posted 30+ Days Ago.
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We are seeking a software engineer who has a strong grasp of robotics, perception, SW, localization, and mapping and who wants to develop and ship production level software to the next generation Level 2 autonomous solutions within Ford’s vehicle lineup.
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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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We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. Challenges you will own Technical leadership of at least one company wide programDeveloping and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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As a Principal Software Engineer on our Prisma Access Cloud Service team, you will design, develop and deliver next-generation technologies. Design, develop and execute test automation to test software features on our next-generation security platform as part of our Prisma Access Cloud Service.
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Our mission is to build great products that accelerate next-generation computing experiences the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. As an intern, you will be part of AMD's next generation of technology innovations.
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Stay informed and integrate latest statistical modelling, machine learning, deep learning, recommender system and/or artificial intelligence trends to improve and enhance modelling stack and improve business metrics and customer experience.
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We are now hiring a Systems Software Engineer for the Tegra Solutions Engineering team focusing on Camera, Multimedia and Graphics for the self-driving platform architectures. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
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You'll be partnering with product management, user experience, customer success, machine learning and other engineering teams to identify, define and build elegant solutions.
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Ability to innovate, as proven by a track record of software artifacts or academic publications in applied machine learning. Extensive experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.
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Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence. Machine Learning and AI. Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
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In your role as a Senior Machine Learning Engineer, you will focus on leveraging and optimizing Large Language Models (LLMs) along with the implementation of advanced AI technologies.
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Model deployment and serving technologies, such as Triton inference services, ONNX, Torchscript, Docker, or Kubernetes for serving machine learning models in production environments. Experience with Triton Inference Server, inferring Deep Learning models and machine learning.
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