About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet the Team

As a Machine Learning Engineer on the ML Ops Framework & Conversion team, you will support the day-to-day operations that keep Torc's model development ecosystem running smoothly. Our team is comprised of engineers with deep expertise in ML and RL frameworks, embedded systems, and autonomous driving — united by a focus on getting models from development into the real world reliably and at scale.

What You’ll Do

• Provide on-call MLOps support for model development teams, triaging and resolving pipeline issues as they arise.
• Assist in debugging model development workflows and identifying root causes across the ML stack.
• Collaborate with senior engineers to improve tooling, documentation, and operational processes.
• Communicate and collaborate with model development teams and broader stakeholders, ensuring issues are resolved quickly and findings are shared across the organization.

What You’ll Need to Succeed

• 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, with foundational experience in ML frameworks such as PyTorch and familiarity with model training pipelines.
• Experience with MLOps tooling — CI/CD systems, monitoring, logging, and pipeline orchestration.
• Strong debugging and problem-solving skills with an ability to triage issues under pressure.
• Clear communicator who can work across teams and translate technical issues for different audiences.

Bonus Points

• Experience with large sensor data formats (MCAP, Parquet) and associated processing tools (PyArrow, Daft, Pandas).
• Experience with distributed compute/orchestration frameworks (Ray, Anyscale, AWS Sagemaker).
• Infrastructure-as-code experience (Terraform).
• Experience with edge deployment or embedded hardware.
• Exposure to autonomous driving or robotics ML workflows.

Perks of Being a Full-time Torc’r

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:

• 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

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Hiring Range for Job Opening

US Pay Range $132,400 - $ USD

Job ID: 102940