Staff ML Engineer - Scene Generation

About the Team:

• The Scene Generation team builds sensor simulation based on Neural Rendering and generative models for Torc's data-driven simulator.
• High-quality data closes the domain data gap, solving a key challenge for safe autonomous driving.
• The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data.

What You'll Do:

• Serve as the team's technical lead, owning key design decisions and driving consensus across engineers and stakeholders.
• Set and own the technical vision and roadmap for Neural Rendering and generative modeling work.
• Implement and guide the team in applying the latest research advances into production quality sensor simulation.

What You'll Need to Succeed:

• Bachelor's degree in CS, Robotics, Electrical Engineering or related field plus 10+ years experience (or Master's plus 7+ years, or PhD plus 5+ years).
• Proficiency in Python and deep learning frameworks such as PyTorch.
• Proven expertise in Neural Rendering (NeRFs, 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching).

Perks:

• Competitive compensation including bonus and stock options.
• 100% paid medical, dental, and vision premiums for full-time employees.
• 401K plan with 6% employer match, flexible schedule, and generous paid vacation.