Senior ML Engineer: Sensor Data & 3D Simulation

Zoox; Seattle (WA); On-site; USD 242,000 - 348,000; Full time

Job summary

Zoox is seeking a machine learning leader to advance sensor realism in AV simulation. You will design, train, and validate ML models for LiDAR, radar, and cameras, and collaborate across teams to integrate 3DGS and NeRF-based reconstruction into simulation pipelines.

You will build datasets from real and simulated data, mentor engineers and interns, and help define metrics to close sim-to-real gaps. The role blends ML, 3D rendering, and autonomous driving expertise in Seattle.

Qualifications

• 2+ years of Technical Lead experience.
• 5+ years developing ML models in Python (PyTorch or TensorFlow).
• Experience applying ML to sensor data (LiDAR, radar, cameras).
• Strong ML training pipelines design and tuning.

Responsibilities

• Design, train, and validate ML models that improve realism of simulated lidar, radar, and camera data.
• Collaborate with Synthetic Data and HIL Sim teams to integrate 3DGS and NeRF-based reconstruction with sensor simulation.
• Build and curate training datasets from real and simulated sensor data, including GenAI-based augmentation.
• Partner with Sim V&V and Perception engineers to define sensor realism metrics and close sim-to-real gaps.
• Mentor engineers and interns, and establish best practices for training and deploying ML on Zoox sensor data.

Skills

Technical Lead

ML models (PyTorch/TF)

ML on sensor data

ML training pipelines

Tools

PyTorch

TensorFlow

Job description

Zoox is seeking a machine learning leader to advance sensor realism in AV simulation. You will design, train, and validate ML models for LiDAR, radar, and cameras, and collaborate across teams to integrate 3DGS and NeRF-based reconstruction into simulation pipelines.

You will build datasets from real and simulated data, mentor engineers and interns, and help define metrics to close sim-to-real gaps. The role blends ML, 3D rendering, and autonomous driving expertise in Seattle.