Machine Learning Engineer – 3D Sensor Simulation

Zoox

. Design, train, and validate ML models that improve the realism of simulated lidar, radar, and camera data in autonomous vehicle simulation pipelines .

Posted 10/13/2026full-timeUnited StatesMid-LevelSenior💰 $189,000 - $283,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and validating machine learning models for sensor data, particularly in the context of autonomous vehicles. Proficient in 3D reconstruction techniques and generative methods to enhance simulation realism and support AI training.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingPyTorch or TensorFlow3D Reconstruction TechniquesSensor Data Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning3D ReconstructionGenerative TechniquesModel ValidationData AugmentationSensor Realism MetricsSimulation PipelinesCustomizing ML PipelinesTuning ML ModelsAutonomous Vehicle Development

Soft Skills

MentoringCollaborationEstablishing Best Practices

Tools & Technologies

LidarRadarCamera DataGenAINeRF3DGS

Industry Keywords

Autonomous VehiclesComputer VisionSimulationSensor ModalitiesSim-to-Real Gaps

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Design, train, and validate ML models that improve the realism of simulated lidar, radar, and camera data in autonomous vehicle 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 high-impact sim-to-real gaps
Mentor engineers and interns, and establish best practices for training and deploying ML on Zoox sensor data
Develop high-fidelity synthetic data and in-the-loop simulation for training and testing autonomous vehicle AI
Improve the realism of simulated sensors to enable the Zoox robotics autonomy stack to learn and improve

Requirements

What you’ll need

3+ years of experience developing ML models in Python with PyTorch or TensorFlow
Industry experience applying ML to sensor data, including lidar, radar, and/or cameras
Solid understanding of customizing, tuning, and validating ML training pipelines
Experience with generative techniques such as diffusion, flow matching, or VAEs
Experience with 3D reconstruction, including 3DGS and NeRFs, or differentiable rendering
Prior experience developing autonomy in AVs or other robotics and computer vision

Benefits

Comp & perks

Paid time off, including sick leave, vacation, and bereavement
Unpaid time off
Zoox Stock Appreciation Rights
Amazon Restricted Stock Units (RSUs)
Health insurance
Long-term care insurance
Long-term and short-term disability insurance
Life insurance
Sign-on bonus may be offered as part of the compensation package