Senior ML Engineer for 3D Sensor Realism in AV Simulation

Zoox; Seattle (WA); On-site; USD 189,000 - 283,000; Full time

Benefits offered by this job

Health insurance

Zoox Stock Appreciation Rights

Amazon RSUs

Paid time off

Long-term/short-term disability

Life insurance

Bereavement leave

Job summary

Zoox is seeking a machine learning professional to apply ML to sensor data (LiDAR, radar, cameras) within our 3D Sensor Simulation team. You will design and validate models to enhance realism in simulated sensor data used for autonomous vehicle training and testing, collaborating with cross-functional teams to integrate 3DGS/NeRF reconstruction and to curate datasets from real and simulated sources.

You will mentor engineers and interns, shaping best practices for training and deploying ML on

Qualifications

• 3+ years of Python ML model development with PyTorch or TensorFlow
• Experience applying ML to sensor data (LiDAR, radar, or cameras)
• Strong ability to customize, tune, and validate ML training pipelines

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.

Skills

Python ML

Sensor data ML

ML training pipelines

Job description

Zoox is seeking a machine learning professional to apply ML to sensor data (LiDAR, radar, cameras) within our 3D Sensor Simulation team. You will design and validate models to enhance realism in simulated sensor data used for autonomous vehicle training and testing, collaborating with cross-functional teams to integrate 3DGS/NeRF reconstruction and to curate datasets from real and simulated sources.

You will mentor engineers and interns, shaping best practices for training and deploying ML on