Staff, Machine Learning Engineer - BEV/Multi-Modal Perception

Ann Arbor, MI · Remote · full time · Staff

$215,500 – $258,600

Listed on Torc Robotics’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This is a technical leadership role focused on advancing perception models for autonomous trucks by unifying camera, LiDAR, and radar data into bird's-eye-view representations. It suits experienced deep learning researchers with a background in 3D vision who want to drive architectural innovation at scale while mentoring a team.

Our summary, not Torc Robotics’s wording. The full posting is on their site.

Skills this role names

What they ask for

Required

10+ years of deep learning for perception, 3D vision, or autonomous systems
M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or equivalent practical experience
Proven expertise in BEV modeling and 3D scene understanding
Multi-modal sensor fusion experience with camera and LiDAR integration
Python proficiency and deep learning framework experience
Large-scale data pipeline and distributed training experience
Leadership driving ML model innovation and mentoring technical teams

Nice to have

Autonomous driving or robotics perception in production environments
MLOps and infrastructure tools like Ray
Hands-on expertise in BEV-based ML architectures or spatial-temporal modeling
Experience with 3D labeling, calibration, and sensor simulation
Publications or open-source contributions at top-tier venues (CVPR, ICCV, NeurIPS, ICRA, CoRL)
Understanding of performance tradeoffs and deployment constraints