Senior ML Engineer — Autonomous Driving & 3D Mapping

Torc Robotics; Ann Arbor (MI); On-site; USD 177,000 - 213,000; Full time

Benefits offered by this job

Stock options

Medical, dental, and vision

401K 6% match

Generous PTO

Holiday closures

AD+D and Life Insurance

Job summary

Torc Robotics in the United States is seeking a senior engineer to lead offline perception, mapping, and 3D reconstruction for autonomous trucks. You will design, implement, and deploy modules using Python, PyTorch, and cloud services, focusing on lane line detection and pose estimation.

The role emphasizes mentoring teammates, staying current with AI/ML advances, and delivering high-quality annotations and models for scalable autonomy solutions.

Qualifications

• Advanced Python development in ML pipelines.
• Experience with lane line annotation and mapping.
• Pose estimation knowledge.
• Familiarity with ML frameworks and experiment tracking.

Responsibilities

• Design and deploy offline 3D reconstruction and mapping modules.
• Develop lane line detection pipelines and map creation.
• Lead project initiatives and mentor teammates across projects.
• Stay current with AI/ML advances in autonomy.

Skills

Python

MLOps

Cloud

Team leadership

Computer Vision

Education

Bachelor's degree in CS/Robotics/EE

Master's degree in CS/Robotics/EE

Tools

PyTorch

Docker

GitHub Actions

MLflow

Weights & Biases

Job description

Torc Robotics in the United States is seeking a senior engineer to lead offline perception, mapping, and 3D reconstruction for autonomous trucks. You will design, implement, and deploy modules using Python, PyTorch, and cloud services, focusing on lane line detection and pose estimation.

The role emphasizes mentoring teammates, staying current with AI/ML advances, and delivering high-quality annotations and models for scalable autonomy solutions.