ML Engineer I – MLOps Framework

This is a fully remote position, open to applicants in United States.

📋 Description

• Provide on-call MLOps support for model development teams, addressing and resolving pipeline issues as they occur.

• Assist in troubleshooting model development workflows and pinpointing root causes throughout the ML stack.

• Collaborate with senior engineers to enhance tools, documentation, and operational procedures.

• Communicate and work closely with model development teams and broader stakeholders, ensuring prompt resolution of issues and sharing of insights across the organization.

• Support the daily operations of Torc's model development ecosystem.

• Help maintain pipelines and ensure engineers have the necessary resources to develop and deploy models reliably at scale.

⛳️ Requirements

• Bachelor's Degree in Computer Science, Electrical Engineering, Robotics, or a related field, along with 1+ years of relevant experience; or equivalent practical experience.

• Proficiency in Python, with foundational knowledge of ML frameworks such as PyTorch and familiarity with model training pipelines.

• Experience with MLOps tools — CI/CD systems, monitoring, logging, and pipeline orchestration.

• Strong debugging and problem-solving abilities with a capacity to triage issues under pressure.

• Effective communicator who can collaborate across teams and convey technical issues to varied audiences.

• Experience with large sensor data formats (MCAP, Parquet) and related processing tools (PyArrow, Daft, Pandas) is an advantage.

• Familiarity with distributed compute/orchestration frameworks (Ray, Anyscale, AWS Sagemaker) is a plus.

• Infrastructure-as-code experience (Terraform) is a bonus.

• Experience with edge deployment or embedded hardware is a bonus.

• Exposure to autonomous driving or robotics ML workflows is a bonus.

🏝️ 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 (available immediately after start date).

• AD+D and Life Insurance.

• Potential sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package.