or apply directly on Torc Robotics's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 22 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 Machine Learning Engineer on the ML Ops Framework & Conversion team at Torc, you will support the operations of the model development ecosystem, ensuring smooth functionality and quick resolution of issues. Your responsibilities will include providing on-call MLOps support, debugging workflows, and collaborating with senior engineers to enhance tooling and processes. This role offers exposure to the ML stack and the opportunity to work on complex model infrastructure in the autonomous trucking sector.
- benefits
- 3/5
- freshness
- 4/5
- 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 related technical field
- 0-3+ years of experience in a relevant field
- Proficiency in Python
- Foundational experience in ML frameworks such as PyTorch
- Experience with MLOps tooling including CI/CD systems, monitoring, logging, and pipeline orchestration
- Strong debugging and problem-solving skills
Nice to have
- Experience with large sensor data formats (MCAP, Parquet) and associated processing tools (PyArrow, Daft, Pandas)
- Experience with distributed compute/orchestration frameworks (Ray, Anyscale, AWS Sagemaker)
- Infrastructure-as-code experience (Terraform)
- Experience with edge deployment or embedded hardware
- Exposure to autonomous driving or robotics ML workflows
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
- AD+D and Life Insurance
Worth weighing
- No salary listed, but a hiring range is provided
- Role involves on-call support which may require flexibility in hours
- Experience level is broad (0-3+ years), which may lead to varying expectations among candidates
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.
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