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Torc Robotics

Senior, ML Engineer - VLM

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 at Torc, you will be responsible for owning the offline dataset pipeline, designing and implementing cloud-based systems to convert multi-sensor data into training datasets for vision-language-action models. Your role involves developing auto-labeling techniques, generating reasoning-grounded labels, and ensuring data quality while collaborating closely with the model development team. Additionally, you will mentor junior engineers and stay updated on advancements in multimodal models and autonomous driving.

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 in a related technical field plus 3+ years of experience
  • Computer Vision & Deep Learning experience with model training and at least two of the following: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, BEV, Depth Estimation
  • Hands-on experience with vision-language models, open-vocabulary or zero-shot recognition, dense captioning, or semantic embeddings/search applied to perception data
  • Experience in building targeted datasets that measurably improve downstream model performance; large-scale Parquet data processing
  • Familiarity with distributed ML & data frameworks such as PyTorch, Lightning, Ray, Spark, or equivalent
  • Strong Python software development skills and experience with cloud-based development environments, CI systems (GitHub Actions), and Docker

Nice to have

  • Familiarity with end-to-end driving models, trajectory and action grounding, or reasoning-trace datasets
  • Experience with segmentation, open-vocabulary detectors, or VLM/LLM-driven data engines for annotation
  • Knowledge of high-throughput model serving technologies
  • Experience with semantic inference & retrieval, including attribute mapping and vector databases
  • Familiarity with AV data standards and tooling

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 remote work policy beyond 'Remote - US'
  • The role involves significant ownership and leadership responsibilities, which may require strong interpersonal skills and experience in mentoring
  • The job requires staying current with rapid advancements in technology, which could demand ongoing learning and adaptation
  • The salary range is provided but may vary based on experience and other factors, so candidates should be prepared for negotiation

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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