Senior ML Engineer - Autonomous Mapping & Perception

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

Benefits offered by this job

Stock options

Medical, dental, vision premiums paid

401K with employer match

Paid vacation

Holiday office closures

AD+D and Life Insurance

Job summary

Torc Robotics, Inc. is a leading autonomous driving company focused on software for automated trucks. The team develops 3D reconstruction, lane line detection, and mapping workflows to annotate sensor data and enable scalable perception pipelines.

The role emphasizes offline model development, data governance, and mentoring while driving continuous improvements in AI for autonomous trucking applications.

Qualifications

• Bachelor’s or Master’s degree in a technical field with several years of experience.
• Experience with lane line annotation creation or automatic mapping is preferred.
• Familiarity with pose estimation and ML/DL modeling for autonomous driving is expected.

Responsibilities

• Design and deploy offline 3D reconstruction and mapping modules.
• Build lane line annotation pipelines for scalable map creation.
• Develop pose estimation to support localization and sensor fusion.
• Lead project activities and mentor team members.

Skills

Lane line annotation

Pose estimation

Python development

ML/DL fundamentals

Cloud services

Version control

Education

Bachelor's in CS/Robotics/EE

Master's in CS/Robotics/EE

Tools

Python

GitHub Actions

Docker

MLflow

PyTorch

Job description

Torc Robotics, Inc. is a leading autonomous driving company focused on software for automated trucks. The team develops 3D reconstruction, lane line detection, and mapping workflows to annotate sensor data and enable scalable perception pipelines.

The role emphasizes offline model development, data governance, and mentoring while driving continuous improvements in AI for autonomous trucking applications.