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

Hiring organization: [Torc Robotics](https://career.thegoodapps.co/organizations/torc-robotics)

Canonical page: https://career.thegoodapps.co/jobs/4f30ba6a-70d4-4825-bdde-bc29599740f8

Listed on Torc Robotics's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Staff
- Location: Ann Arbor, MI
- Remote: yes
- Salary: 215500 – 258600 USD per year

## Summary

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._

## Skills named

Python, PyTorch, TensorFlow, V-Ray

## 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

Apply on Torc Robotics's site: https://job-boards.greenhouse.io/torcrobotics/jobs/8720904002