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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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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 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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This empowers operations teams for the first time to precisely and directly impact real-world business outcomes, including customer satisfaction and revenue. You will delve into a diverse array of ML technologies to drive innovative customer experiences.
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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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Ideal candidates have a background in machine learning and computer vision, as well as strong software engineering skills. Work with the perception team to design, develop, and deploy computer vision and machine learning components for robotics on integrated hardware (like Nvidia Jetson and Intel Myriad.
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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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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
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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.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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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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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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Understanding of machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or TensorFlow. These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Behavior Prediction, Planner, Routing, Maps and Research, ensuring greater degrees of consistency and repeatability, and addressing the "last mile" of getting models into production and managing them once they are in place.
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We recently announced our next-generation aircraft, the Helix, planned for general release and scalable production in January 2024. The Aeromechanical team at Pivotal is looking for an Aerodynamics Engineer to join our dynamic and innovative team.
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The successful candidate will be an integral part of enabling targeting of lipid-nanoparticles in support of ReCode's next generation in vivo delivery platform. Desire to work in a fast-paced environment and contribute to developing the next generation of lipid nanoparticles.
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Experience with popular MLOps tooling from cloud vendors like GCP (Vertex AI), AWS (SageMaker), or Azure Machine Learning, MLFlow, Kubeflow, etc. Work on advanced tools developed for the world’s leading cloud-native machine learning engine that uses graph deep learning technology.
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