Machine Learning Engineer - Simulation Framework

zoox · Foster City, CA

Full-timeSoftware SystemsTechnology$102,000–$138,000/yr

About the Machine Learning Engineer Simulation Framework role

Machine Learning Engineer Simulation Framework positions focus on delivering results in their domain. This page aggregates open Machine Learning Engineer Simulation Framework roles and what employers typically expect.

Simulation is essential for Zoox to rapidly iterate on our driving software and hardware, and to validate our safety before we drive in the real world. We create virtual worlds to challenge our robots, from real-world data, entirely novel scenarios, or a combination of both. Our simulations need to run at a huge scale to cover everything that might happen, and to help prove our driving to be safe. As a Machine Learning Engineer on the Simulation Core Team, you will focus on the intersection of machine learning and synthetic environments within our high-speed, GPU-based simulation framework. Our success depends on you driving ML efficiency while solving complex "sim-to-sim" and "sim-to-real" fidelity gaps, ensuring our safety-critical models train on data that perfectly aligns with physical vehicle behavior.

Salary estimate

$102,000 – $138,000/yr

Provided by the employer.

Skills for this role

Machine Learning

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