Staff, ML Engineer - Scene Generation
Core
Lead the Scene Generation team to build sensor simulation based on Neural Rendering and generative models for Torc's data-driven autonomous truck simulator.
Role type
Staff ML Engineer (Technical Lead)
Builds
Neural rendering framework and generative models for Camera, LiDAR, and Radar sensor simulation
Domain
Autonomous driving, Computer Vision, 3D Graphics
Deliverable
production ML models
Required skills
Neural Rendering (Neural Radiance Fields, 3D Gaussian Splatting), Generative Models (Diffusion Models, Flow Matching), Python, Deep Learning (PyTorch), Computer Vision, 3D Reconstruction, Autonomous Driving Sensor Data, Cloud ML Ecosystem, Technical Leadership, Team Mentoring
Preferred skills
CUDA programming, MLOps (Ray), 3D labeling pipelines, Top-tier conference publications
Technologies
PyTorch, CUDA, Ray, Cloud ML environments
Responsibilities
Set technical vision and roadmap for Neural Rendering and generative modeling, Lead team day-to-day and make final architecture calls, Implement and guide research advances into production quality simulation, Own neural rendering framework end-to-end, Automate cloud pipelines for target verification and validation, Mentor and coach engineers, Drive alignment across team interfaces
Seniority
Staff, hands-on IC with leadership responsibilities
