Staff, Machine Learning Engineer - BEV/Multi-Modal Perception
Torc Robotics4 hours ago
Base Salary
$216k - $259k/yr
Responsibilities
- Lead the technical roadmap and development of BEV perception models for detection, segmentation, road topology, and scene understanding.
- Design architectures that fuse camera, LiDAR, radar, and HD map data into unified spatial representations.
- Develop foundational perception models using BEV transformers, voxel-based encoders, and implicit scene representations.
- Own large-scale training workflows, including data sampling, augmentation, distributed training, and hyperparameter optimization.
- Improve model robustness and generalization for low visibility, occlusions, rare scenes, and cross-domain conditions.
- Establish evaluation frameworks for geometric accuracy, temporal stability, and cross-domain transfer performance.
- Collaborate with sensor calibration, mapping, and fusion teams on cohesive perception model interfaces.
- Mentor ML engineers and promote strong practices in experimentation, code quality, and model validation.
- Explore self-supervised learning, large-scale pretraining, and foundation models for 3D perception.
Requirements
- 10+ years of experience in deep learning for perception, 3D vision, and/or autonomous systems.
- M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field, or equivalent practical experience.
- Proven expertise in BEV modeling, 3D scene understanding, and multi-view fusion.
- Strong experience with multi-modal sensor fusion, particularly camera and LiDAR integration.
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Experience with large-scale data pipelines, distributed training, and experiment management systems.
- Demonstrated technical leadership in ML model innovation and mentoring.
- Experience with autonomous driving or robotics perception in production environments is preferred.
- Experience with MLOps and Ray is preferred.
- Familiarity with 3D labeling, calibration, sensor simulation pipelines, and deployment tradeoffs is preferred.
- Publications or open-source contributions in venues such as CVPR, ICCV, NeurIPS, ICRA, or CoRL are a plus.
Benefits
- Competitive compensation package with bonus and stock options.
- 100% employer-paid medical, dental, and vision premiums for full-time employees.
- 401(k) plan with a 6% employer match.
- Flexible scheduling, generous paid vacation available immediately after start date, and company-wide holiday office closures.
- AD&D and life insurance.
- Hybrid work in Ann Arbor, Michigan or remote work within the United States.
- Full-time position.
Categories
ML EngineeringRobotics
About Torc Robotics
Torc Robotics, headquartered in Blacksburg, Virginia, offers a complete autonomous software solution for the trucking/freight industry. Torc was acquired by Daimler – the largest heavy-duty truck manufacturer in North America – in August 2019. We are working together to develop highly automated trucks to improve the safety and efficiency of transporting goods. We are experts in providing autonomous vehicle solutions and we partner with other industry leaders to bring this new technology to work in the real world. Our mission is to drive the future of freight through safer roads and the efficient transport of critical goods. #TorcDriven #TorcRobotics