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Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI Infra Foundation team at General Motors, where we build the critical infrastructure that powers every machine learning engineer working on our cutting-edge Autonomous Driving models. From foundational models to state-of-the-art optimization, our work is at the heart of our mission.
Our goal is simple: dramatically accelerate the machine learning development cycle, freeing our engineers to focus entirely on enhancing the safety and performance of the car, rather than managing infrastructure. We are committed to delivering products that are performant, easy to use, and exceptionally reliable. Your success will be measured by the success of our partner teams who rely on our robust systems to build the world's most advanced driverless vehicles.
As a Senior ML Infra Engineer, you will build critical infrastructure that powers every machine learning engineer working on our cutting-edge Autonomous Driving models. From foundational models to state-of-the-art optimization, our goal is simple: dramatically accelerate the machine learning development cycle. We are committed to delivering products that are performant, easy to use, and exceptionally reliable. Your success will be measured by the success of our partner teams who rely on our robust systems to build the world's most advanced driverless vehicles.
Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of an office, you are expected to report to that location three times a week, at minimum.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
Relocation: This job may be eligible for relocation benefits.
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This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job may be eligible for relocation benefits.
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