Machine Learning Engineer, 3D Simulation

Zoox is hiring Machine Learning Engineers for the 3D Simulation group to advance 3D vision research and accelerate autonomy by connecting simulation and real-world data.

Responsibilities

• Research, implement, and optimize state of the art machine learning approaches to improve 3D simulation variation and fidelity
• Partner with ML Researchers, Technical Artists, and Simulation engineers to apply new ML techniques in a production simulator
• Train 4D generative and world models to simulate rare scenarios
• Develop scalable, usable cloud pipelines for machine learning solutions in 3D simulation
• Enhance rendering and tooling to generate realistic data at scale

Requirements

• 3+ years of experience with Python/C++ programming and algorithm design
• Experience building and extending radiance field machine learning 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

Bonus Qualifications

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

Technologies

• Python
• C++
• Houdini
• Maya
• Blender

Compensation

• Base salary range: USD 155,000 - 239,000 per year
• Compensation has three major components: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights
• Sign-on bonus: may be offered as part of the compensation package
• The listed range applies only to base salary; compensation varies based on geographic location and level

Benefits

• Paid time off (e.g., 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

Accommodations

If you need an accommodation to participate in the application or interview process, reach out to [email protected] or your assigned recruiter.