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As a Machine Learning engineer in the Perception team you will be responsible to design and develop new Machine Learning models for our online perception system and deploy the model on our next-generation autonomous vehicle platform and ultimately to millions of Toyota production vehicles.
$264,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record.
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Join Apple's Applied Machine Learning Team, as a Senior Software Engineer, to enable GenAI across our Applications & Platforms. Machine Learning Ops Engineer, Applied Machine Learning.
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To facilitate Guardant Health’s fast growth in the next few years, the HPC team is looking for a strong technical engineer who can help maintain and help grow the HPC infrastructure during its aggressive expansion, while working with corporate IT, SQA and DevOps/SRE teams.
$187,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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7+ years of industry experience leading the development of cutting-edge computational and analytical methods aimed at deriving critical or novel insights from advanced molecular data, including but not limited to next-generation sequencing data.
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And machine learning including Deep Learning frameworks like TensorFlow/PyTorch. You have at least 1-3 years of hands-on experience in one or more of the following areas: Autonomous Driving (preferable), Robotics, or Deep Learning in general.
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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.
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This role will be tasked with applying machine learning/deep learning to the automotive industry. Machine Learning Development. Maintains, as well as furthers, enhances existing machine learning modules for autonomous vehicles.
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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.
$275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Opto-Mechanical Engineer is responsible for designing, developing, and integrating optical and mechanical systems for Aetherflux’s space-based laser satellites. Optical System Design: Use optical design software (e.g., Zemax, Code V) to design, simulate, and optimize optical systems for laser-based satellite platforms.
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As Staff Machine Learning Engineer, you'll lead the technical execution of our ML pipelines with a focus on improving the overall end-to-end perception pipeline. Staff Machine Learning Engineer.
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You will Conceptualize, Design, Engineer, Develop and support the launch of EDS designs for next generation Model e products. The HV EDS (Electrical Distribution Systems) Design Engineer will be responsible for vehicle side electrical wire harness design and integration.
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As a Research Engineer working at the Reality Labs, you will be responsible for the implementation and acceleration of our EMG machine learning platform; creating new AI models, tools, and infrastructure that unlock the capabilities of our technology; productionizing our research results, and working with scientists, software engineers, hardware engineers and designers to advance the company's AI-driven AR/VR agenda.
$251,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Our climate-focused project at X is hiring a geophysics machine learning engineer, who will work on defining and executing a set of geophysics computational and machine learning experiments.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience in Machine Learning and Deep Learning. -Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow and large scale distributed systems.
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