Senior ML Engineer - Camera Perception for AVs

Torc Robotics, Inc.; Ann Arbor (MI); Hybrid; USD 177,000 - 213,000; Full time

Benefits offered by this job

Competitive compensation with bonus

Stock options

100% paid medical, dental, and vision

401K with 6% match

Generous paid vacation

Company holidays

AD+D and Life Insurance

Job summary

Torc Robotics, Inc. in the United States is hiring a Senior Machine Learning Engineer – Camera Models to develop and deploy camera-based perception for autonomous trucks, owning model development from data curation to production deployment.

The role requires strong deep learning for computer vision, proficiency in Python and PyTorch, and experience scaling training pipelines. Hybrid/remote options include Ann Arbor, MI or Blacksburg, VA, with impact across the autonomy stack.

Qualifications

• Bachelor’s degree in a technical field with 6+ years of experience, or advanced degrees with fewer years.
• Experience developing and deploying deep learning models for perception systems.
• Strong Python and PyTorch, with production-quality ML code.

Responsibilities

• Design, develop, and deploy deep learning models for camera-based perception.
• Own end-to-end model development from data curation to deployment.
• Write production-quality ML code to support scalable pipelines.
• Analyze model performance and improve robustness across scenarios.
• Collaborate with data, perception, and infrastructure teams to integrate models.

Skills

Deep learning

Python

PyTorch

Computer vision

Distributed training

Model deployment

Cross-functional collaboration

Education

Bachelor's degree in CS/Robotics/EE/ML

Tools

Ray

Docker

CUDA

Job description

Torc Robotics, Inc. in the United States is hiring a Senior Machine Learning Engineer – Camera Models to develop and deploy camera-based perception for autonomous trucks, owning model development from data curation to production deployment.

The role requires strong deep learning for computer vision, proficiency in Python and PyTorch, and experience scaling training pipelines. Hybrid/remote options include Ann Arbor, MI or Blacksburg, VA, with impact across the autonomy stack.