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← Torc Robotics

ML Engineer, I - MLOps Framework

Torc Robotics
Location
Remote - US
Posted
26 days ago
Department
Data Loop and Simulation
What they actually want (must-haves)
  • 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 the job really is

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
  • 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
Things to weigh
  • 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
Job score3/5
Benefits3/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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