# ML Engineer, I - MLOps Framework

Hiring organization: [Torc Robotics](https://career.thegoodapps.co/organizations/torc-robotics)

Canonical page: https://career.thegoodapps.co/jobs/4c5cd1bb-5098-4256-a34b-d0d680d0f17f

Listed on Torc Robotics's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Junior
- Location: Remote - US
- Remote: yes
- Salary: 132400 – 158900 USD per year

## Summary

This role supports Torc's machine learning teams by maintaining the infrastructure and pipelines that move models from development into production on autonomous trucks. It suits engineers who enjoy debugging complex systems, collaborating across teams, and learning the full ML stack in a fast-paced autonomous driving environment.

_Our summary, not Torc Robotics's wording._

## Skills named

AWS SageMaker, CI/CD, Pandas, Python, PyTorch, Ray/Anyscale, Terraform, V-Ray

## Required

- Bachelor's degree in Computer Science, Robotics, Electrical Engineering or related technical field
- 0-3+ years of relevant experience
- Proficiency in Python
- Experience with ML frameworks like PyTorch
- Familiarity with model training pipelines
- Experience with MLOps tooling including CI/CD systems, monitoring, logging, and pipeline orchestration
- Strong debugging and problem-solving skills
- Ability to communicate clearly across teams

## Nice to have

- Experience with large sensor data formats like MCAP and Parquet
- Experience with PyArrow, Daft, or Pandas
- Experience with distributed compute or orchestration frameworks like Ray, Anyscale, or AWS SageMaker
- Infrastructure-as-code experience with Terraform
- Experience with edge deployment or embedded hardware
- Exposure to autonomous driving or robotics ML workflows

Apply on Torc Robotics's site: https://job-boards.greenhouse.io/torcrobotics/jobs/8728723002