ML Engineer II — New Initiatives & MLOps

Torc Robotics; United States; On-site; USD 153,000 - 184,000; Full time

Benefits offered by this job

Bonus component

Stock options

Medical, dental, and vision premiums (

401K with 6% employer match

Flexible schedule and generous paidvac

AD+D and Life Insurance

Job summary

Torc Robotics seeks a Machine Learning Engineer for the ML Ops team to translate complex problems into scalable ML workflows and production-ready models for autonomous trucking solutions.

You will collaborate with cross-functional teams, establish data governance, and lead projects from concept to deployment, while upholding disciplined software development and documentation. This role requires 4+ years of experience and a passion for frontier tech.

Qualifications

• Bachelor’s degree with 4+ years of relevant experience or Master’s degree with 0-3+ years of experience.
• Ability to translate complex business problems into ML workflows.
• Experience communicating outcomes to cross-functional teams.

Responsibilities

• Build foundation of Torc's AI development tooling.
• Develop data science models or algorithms with disciplined software processes.
• Define ingestion, preparation, curation, and governance for large data sets.
• Organize and lead projects, guiding team members in execution.
• Provide insights and enable data visualization and accessibility for users.
• Develop guidelines for analytics models and deployment processes.
• Collaborate within the team and with interfaces across the organization.

Skills

Adventurous spirit

Rigorous disposition

Team communication

Education

Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related field

Master’s Degree in Computer Science, Robotics, Electrical Engineering or related field

Job description

Torc Robotics seeks a Machine Learning Engineer for the ML Ops team to translate complex problems into scalable ML workflows and production-ready models for autonomous trucking solutions.

You will collaborate with cross-functional teams, establish data governance, and lead projects from concept to deployment, while upholding disciplined software development and documentation. This role requires 4+ years of experience and a passion for frontier tech.