Zoox
Machine Learning Engineer - 3D Sensor Simulation
$189K–$283K
Foster City, CA +1 · Hybrid · Full-time · Posted Oct 12, 2026
- Location
- Foster City, CA
Seattle, WA - Experience
- 3+ years developing ML models; industry sensor-data ML experience is also required, with no duration specified.
About the job
Develops machine-learning models and datasets to make simulated autonomous-vehicle sensor data more realistic and help close sim-to-real gaps.
What you'll do
- Design, train, and validate models for simulated lidar, radar, and camera data; integrate 3D reconstruction with sensor simulation.
- Build and curate training datasets from real and simulated sensor data, including GenAI-based augmentation.
- Define sensor-realism metrics with simulation and perception teams, and mentor engineers and interns.
What they ask for
- 3+ years developing ML models in Python with PyTorch or TensorFlow.
- Industry experience applying ML to sensor data (lidar, radar, and/or cameras).
- Solid understanding of customizing, tuning, and validating ML training pipelines.
Nice to have
- Experience with diffusion, flow matching, or VAEs.
- Experience with 3DGS, NeRFs, differentiable rendering, or autonomy development in AVs or other robotics and computer vision.
Pay
USD 189,000–283,000 per year (base salary)
Tools
Python, PyTorch, TensorFlow, lidar, radar, cameras, 3DGS, NeRFs
AI focus
Develop ML models for realistic simulated sensor data, use GenAI-based data augmentation, and integrate 3DGS- and NeRF-based reconstruction with sensor simulation.
Model-written summary · the original posting is authoritative