In this role, you will:
- Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity
- Collaborate with ML Researchers, Technical Artists and Simulation engineers to bring new ML techniques to our production simulator
- 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 programming and algorithm design
- Fluency in Python and C++
- Experience building and extending radiance field ML models
- Publications or production experience in human-centric 3D vision, 3D reconstruction, or style transfer
- Strong mathematical skills and understanding of probabilistic techniques
Bonus Qualifications:
- Bachelor's, Master's or PhD in computer science, mathematics, physics, or related field
- Publications in your field (CVPR, ICCV, RSS, ICRA preferred)
- Experience with generative models for 3D or video content
- 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
Top Skills
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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