ML Engineer, I - MLOps Framework

Torc Robotics; United States; On-site; USD 132,000 - 159,000; Full time

Benefits offered by this job

Bonus + stock options

100% medical, dental, vision premiums

401K with 6% match

Flexible schedule & generous vacation

AD+D and Life Insurance

Job summary

Torc Robotics in the United States is seeking a Machine Learning Engineer to join the ML Ops Framework & Conversion team. You will support model development pipelines, triage issues, and help scale tooling for autonomous-trucking software.

The role requires a BS in CS/Robotics/EE, strong Python skills, and experience with ML frameworks like PyTorch and MLOps tooling. You will collaborate across teams and contribute to robust, scalable ML workflows.

Qualifications

• BS in Computer Science, Robotics, Electrical Engineering or related field; 0–3+ years of experience.
• Proficiency in Python and ML frameworks such as PyTorch; familiarity with model training pipelines.
• Experience with MLOps tooling including CI/CD, monitoring, logging, and orchestration.

Responsibilities

• Provide on-call MLOps support for model development teams and triage pipeline issues.
• Assist in debugging model development workflows and identify root causes across the ML stack.
• Collaborate with senior engineers to improve tooling, documentation, and processes.
• Communicate findings clearly to model development teams and stakeholders.

Skills

Python

PyTorch

ML pipelines

MLOps tooling

CI/CD

Debugging

Cross-team communication

Education

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

Tools

CI/CD tooling

Monitoring

Logging

Pipeline orchestration

Ray / AWS Sagemaker

Job description

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.

In this role, you will provide general MLOps support to model development teams, helping triage issues, maintain pipelines, and ensure engineers have what they need to move fast. You'll gain broad exposure across the ML stack and grow alongside a team working on some of the most complex model infrastructure in autonomous trucking.

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, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of 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 - $158,900 USD

Job ID: 102940