Machine Learning Engineer - 3D Sensor Simulation
Hybrid (Foster City, CA), Hybrid (Seattle, WA)$189k - $283kFull-timePosted 1w ago
About the role
Machine Learning Engineer for 3D Sensor Simulation focusing on improving realism of LiDAR, radar, and camera data for autonomous vehicle simulation, 3D reconstruction, and synthetic data generation.
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
- 3+ 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:PythonPyTorch or TensorFlowSensor data (lidar, radar, cameras)ML training pipelines
Nice to have:GenAI data augmentation3D reconstruction / NeRFs / differentiable rendering
Benefits
- paid time off (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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