Senior / Staff Machine Learning Engineer - 3D Sensor Simulation
Hybrid (Foster City, CA / Seattle, WA)$242k - $348kFull-timePosted 1w ago
About the role
Machine learning role focused on enabling realistic 3D sensor simulation (LiDAR, radar, cameras) for autonomous vehicle training and testing, including 3D reconstruction and NeRF-based techniques.
Responsibilities
- Design, train, and validate ML models that improve the realism of simulated lidar, radar, and camera data in autonomous vehicle (AV) simulation pipelines.
- Collaborate with Synthetic Data and HIL Sim teams to integrate 3DGS and NeRF-based 3D reconstruction with simulation of all sensor modalities.
- Build and curate training datasets from real and simulated sensor data, including GenAI-based data augmentation.
- Partner with Sim V&V and Perception engineers to define sensor realism metrics and close the sim-to-real gaps with the greatest impact on autonomy.
- Mentor engineers and interns, and establish best practices for training and deploying ML on Zoox sensor data.
Qualifications
- 2+ years of prior experience as a Technical Lead
- 5+ years of experience 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
Skills
Required:ML model developmentPythonSensor data pipelinesMentoring
Nice to have:3D reconstruction
Benefits
- paid time off (e.g. sick leave, vacation, bereavement)
- unpaid time off
- Zoox Stock Appreciation Rights
- Amazon RSUs
- health insurance
- long-term care insurance
- long-term and short-term disability insurance
- life insurance
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Zoox
It's Not a Car | Zoox
Zoox is a purpose-built autonomous vehicle designed for riders, not drivers. Learn more about the Zoox robotaxi and the future of ride-hailing.
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