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Torc Robotics

ML Engineer, II - Simulation Enablement

Torc Robotics · Remote - US, Ann Arbor, MI

Posted about 3 months ago

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

Is this posting real?

This role has been open
75 days
Torc Robotics's roles stay open a median of 78 days
Reposted
No
Salary listed
No
11% of Torc Robotics's roles list one
Ghost-job risk at Torc Robotics
high
54 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
2026-10-22

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 Machine Learning Engineer at Torc, you will work closely with Autonomy teams to drive the adoption of the Torc Sim simulation platform. Your role involves implementing data workflows, onboarding autonomy models for replay and metric evaluation, and ensuring effective visualization of model performance. You will also troubleshoot issues across the data pipeline and collaborate with teams to translate feedback into product requirements.

Our read on this posting2.4out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
4/5
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, Robotics, Electrical Engineering or a related technical field plus demonstrated competencies typically acquired through 4+ years of experience, OR Master's Degree plus 2+ years of experience
  • Strong Python skills and experience building or operating data pipelines at scale
  • Experience working with simulation, replay, or model validation
  • Familiarity with autonomy or robotics ML models (perception, tracking, prediction, or planning) and the data they consume
  • Comfort working across cloud storage and compute
  • Strong cross-team communication skills

Nice to have

  • Prior experience in a forward-deployed engineer, solutions engineer, or embedded platform role
  • Hands-on experience with Camera, Lidar, Vehicle Intent, or Object Tracking models specifically
  • Experience with simulation or replay frameworks for autonomous vehicles or robotics
  • Familiarity with visualization tooling such as Foxglove, OpenGL, or Three.js
  • Experience with large sensor data formats (MCAP, Parquet) and associated processing tools (PyArrow, Daft, Pandas)

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 specific mention of the tech stack beyond Python and data pipelines
  • The role involves significant cross-team communication, which may require strong interpersonal skills
  • The position is remote, which may suit some candidates but not others

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

Listed by Torc Robotics on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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