Machine Learning Engineer, 3D Simulation

The role

You will research, build and improve machine learning methods that make 3D simulation more varied and realistic. You will work with ML researchers, technical artists and simulation engineers, and bring new techniques into the production simulator.

What you will do

• Research, implement and optimize state of the art machine learning approaches to improve 3D simulation variation and fidelity
• Collaborate with ML Researchers, Technical Artists and Simulation engineers to bring new ML techniques to the production simulator
• Train 4D generative and world models for simulating rare scenarios
• Build scalable, useable cloud pipelines for machine learning solutions in 3D simulation
• Improve rendering and tooling for generating realistic data at scale

Required qualifications

• 3+ years of experience with Python/C++ programming and algorithm design
• Experience building and extending radiance field ML models
• Experience with generative models for 3D or video content
• Publications or production experience in human-centric 3D vision, 3D reconstruction, or style transfer
• Strong mathematical skills and understanding of probabilistic techniques

Nice to have

• Experience automating 3D content pipelines using applications like Houdini, Maya, or Blender
• Experience in distributed systems and cloud computing platforms
• Experience in generative camera, lidar, radar, or LWIR

Before you apply

• You do not need to match every listed expectation to apply

About the company

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem to bring this technology to market. It works at the intersection of robotics, machine learning and design, aiming to provide next-generation mobility-as-a-service in urban environments.