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Machine Learning Engineer – Simulation Framework
ZooxMachine Learning Engineer focusing on GPU-based simulation frameworks at Zoox. Developing complex simulation systems to improve ML efficiency and vehicle behavior alignment.
Posted 6/25/2026full-timeFoster City • California • 🇺🇸 United StatesMid-LevelSenior💰 $151,000 - $257,000 per yearWebsite
Tech Stack
Tools & technologiesPythonPyTorch
About the role
Key responsibilities & impact- Develop and optimize our GPU-based simulation framework to support complex machine learning training and validation pipelines.
- Apply reinforcement learning concepts to solve complex behavioral and path planning challenges in simulation environments.
- Identify and resolve "sim-to-sim" and “sim-to-real” fidelity gaps to ensure parity between high-speed ML simulations, high-fidelity 3D environments, and physical vehicle execution.
- Build systems that allow autonomy users to self-serve data generation and accelerate their training iterations.
- Write robust, production-ready code to integrate advanced ML algorithms directly into our core simulation architecture.
Requirements
What you’ll need- PhD or Master’s in computer science, robotics, machine learning, or a related field.
- Deep understanding of reinforcement learning and its application in simulated or robotic environments.
- Hands-on experience developing, training, and fine-tuning deep learning models using modern frameworks (e.g., JAX or PyTorch).
- Strong proficiency in C++ and Python for building and deploying production machine learning systems.
- Experience analyzing and bridging fidelity gaps between synthetic training data and real-world execution.
Benefits
Comp & perks- Health insurance
- Long-term care insurance
- Long-term and short-term disability insurance
- Life insurance
- Paid time off (e.g. sick leave, vacation, bereavement)
- Unpaid time off
- Zoox Stock Appreciation Rights
- Amazon Restricted Stock Units (RSUs)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
GPU-based simulationreinforcement learningdeep learning modelsC++Pythonproduction-ready codedata generationML algorithmssimulation architecturefidelity gap analysis
Certifications
PhDMaster’s