The 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to accelerate autonomy by blurring the line between simulation and reality. Our ML group is working on generating rich and diverse 3D environments, humans, and environmental conditions using reconstruction and generative models. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validation to bring new algorithms into our robotics stack.
In this role, you will:
- 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 our 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
Qualifications:
- 7+ 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
Bonus Qualifications:
- 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
Skills Required
- 7+ years of experience with Python and 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
- Experience automating 3D content pipelines using Houdini, Maya, or Blender
- Experience with distributed systems and cloud computing platforms
- Experience with generative camera, lidar, radar, or LWIR
Zoox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.
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Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
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Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.
Zoox Insights
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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