Zoox
Machine Learning Engineer - Simulation Framework
Foster City, CA
Sponsorship not specified$151k-$257kDetected 28 days ago
PythonC++AlgorithmsMachine LearningDeep LearningPyTorchMLOpsRobotics
About the role
- 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.
Responsibilities
- Build systems that allow autonomy users to self-serve data generation and accelerate their training iterations.
Requirements
- Experience analyzing and bridging fidelity gaps between synthetic training data and real-world execution.
- 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.
- Bonus Qualifications:
- About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. 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. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Nice to have
- Experience with GPU programming (CUDA) or high-performance compute clusters.
- Automotive or autonomous robotics industry experience.
- Strong background in deterministic systems and latency optimization.
- About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.
- A Final Note: You do not need to match every listed expectation to apply for this position.
Skills
- Our simulations need to run at a huge scale to cover everything that might happen, and to help prove our driving to be safe.
Compensation
- $151k-$257k
Benefits
- 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.
This listing is sourced directly from Zoox's careers page and normalized into a canonical job model.