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Torc Robotics

Senior, ML Engineer - Auto Tagging

Torc Robotics · Ann Arbor, MI, Remote - US

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
80 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 Senior ML Engineer on the Auto Tagging team at Torc, you will architect and optimize distributed data pipelines to process large multi-sensor logs, develop algorithms for event tagging, and manage data ingestion into an observations database. You will collaborate with various teams to define interesting scenarios and mentor junior engineers, all while ensuring data consistency and integrity in the context of autonomous vehicle technology.

Our read on this posting2.6out of 5
benefits
3/5
freshness
1/5
career value
4/5
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, Robotics, Electrical Engineering or related technical field plus 6+ years of experience OR Master’s Degree plus 3+ years of experience OR PhD plus 1+ years of experience
  • Strong Python and SQL skills
  • Hands-on machine learning and dataset curation experience
  • Experience using Databricks or similar platforms
  • Expertise in distributed compute frameworks (Ray, Spark, Beam) and cloud platforms (AWS, GCP, or Azure)
  • Experience parsing complex data formats and applying scenario-description standards like Pegasus layers

Nice to have

  • Familiarity with foundational models, auto-labeling pipelines, or zero-shot classification
  • Experience with vLLM, SGLang, or similar frameworks for model serving
  • Experience with semantic extraction and attribute mapping
  • Familiarity with parsing robotics formats (ROS bags, MCAP)
  • Knowledge of how scenario data feeds into generative simulation workflows

What you get

  • Competitive compensation package including bonus 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
  • Company-wide holiday office closures
  • AD+D and Life Insurance

Worth weighing

  • No remote work details specified beyond US location
  • Salary range provided, but may vary based on experience and other factors

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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