Torc Robotics
ML Engineer, I - MLOps Framework
About this role
Join Torc's ML Ops Framework team to support the infrastructure keeping autonomous trucking models in production. You'll triage issues, maintain pipelines, and collaborate with model development teams to ensure reliability and scale across complex ML systems.
What you'll do
- Provide on-call MLOps support, triaging and resolving pipeline issues for model development teams
- Debug model development workflows and identify root causes across the ML stack
- Collaborate with senior engineers to improve tooling, documentation, and operational processes
- Communicate technical findings across teams and help resolve issues quickly
- Support the deployment and monitoring of models in production environments
What they're looking for
- Python proficiency
- PyTorch and ML frameworks
- CI/CD systems and pipeline orchestration
- Monitoring and logging tools
- Debugging and problem-solving under pressure
- Cross-team communication
- Model training pipeline knowledge
Benefits
- Health and wellness support
- Work-life balance resources
- Collaborative and energetic team culture
- Remote work (US-based)
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Torc Robotics
Torc Robotics develops autonomous driving software and systems for trucks. The company is hiring systems engineers, software engineers, and test automation specialists to build validation frameworks, integration environments, and web applications that ensure the reliability and quality of their autonomous vehicle technology.
- Website
- torcrobotics.com
Likely interview questions
- Describe a time you debugged a complex issue in a machine learning pipeline—what was your approach?
- How would you triage a failing model training job with minimal context from the development team?