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Description:
Support day-to-day operations of Torc's model development ecosystem as a Machine Learning Engineer on the ML Ops Framework & Conversion team.
Provide MLOps support to model development teams, triaging issues, maintaining pipelines, and ensuring efficient workflows.
Requirements:
Bachelor's Degree in Computer Science, Electrical Engineering, Robotics, or related field plus 1+ years of relevant experience; or equivalent practical experience.
Proficiency in Python and foundational experience in ML frameworks such as 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 triage issues under pressure.
Clear communication skills to work across teams and translate technical issues for different audiences.
Benefits:
Competitive compensation package including bonus component and stock options.
100% paid medical, dental, and vision premiums for full-time employees.
401K plan with a 6% employer match.
Flexible schedule and generous paid vacation available immediately after start date.