PitchMeAI Jobs
Torc Robotics

Senior Machine Learning Engineer - Localization

Torc Robotics · Remote - U.S, Ann Arbor, MI

Posted 15 days ago

or apply directly on Torc Robotics's site. We never take the application ourselves.

Is this posting real?

This role has been open
15 days
Torc Robotics's roles stay open a median of 43 days
Reposted
No
Salary listed
No
11% of Torc Robotics's roles list one
Ghost-job risk at Torc Robotics
high
24 stale, 0 reposted of 56 open
Hiring momentum
93 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Torc Robotics's own greenhouse board since 2026-08-03. Full hiring picture for Torc Robotics.

About this role

As a Senior Machine Learning Engineer specializing in Localization at Torc, you will design, develop, and deploy machine learning models for ego-motion estimation and localization in autonomous trucks. Your role involves creating scalable training workflows, improving state estimation algorithms, and analyzing large vehicle datasets to enhance performance. Collaboration with cross-functional teams is key to delivering integrated autonomous driving capabilities, along with providing technical leadership within the team.

Our read on this posting3.4out of 5
benefits
3/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Torc Robotics as an employer.

What you need

  • Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 6+ years of relevant industry experience, or a Master’s degree with 3+ years of relevant industry experience, or a PhD with 1+ year of relevant industry experience
  • Experience with AV or robotics localization systems (e.g., LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation)
  • Strong experience developing and deploying ML models for perception, localization, or sensor fusion domains
  • Proficiency with PyTorch and modern ML tooling for training, inference, and optimization
  • Solid understanding of 3D geometry, probabilistic estimation, coordinate transforms, and robotics fundamentals
  • Demonstrated ability to work with large multimodal datasets and build scalable pipelines for processing, labeling, and evaluation

Nice to have

  • Experience with state estimation techniques such as factor graphs, Kalman filtering, nonlinear optimization, or related probabilistic estimation methods
  • Familiarity with distributed computing tools such as Ray, Kubernetes, or similar orchestration frameworks
  • Knowledge of embedded and real-time constraints for on-vehicle deployment
  • Experience in simulation, synthetic data generation, and uncertainty-aware ML modeling
  • Contributions to open-source robotics, perception, or ML frameworks

What you get

  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance

Worth weighing

  • No salary listed in the posting, but a hiring range is provided ($177,300 — $212,800 USD)
  • The role involves working with complex systems in a rapidly evolving field, which may present unique challenges
  • The position is open to remote work, but also offers a hybrid option in Ann Arbor, MI, which may affect team dynamics

Summarised from Torc Robotics's posting. Read the full original.

Listed by Torc Robotics on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

More roles at Torc Robotics

All 56 open roles at Torc Robotics →