Torc Robotics
Machine Learning Engineer II - Learned Planning (Reinforcement Learning)
Remote - US, Ann Arbor, MI · Mid · Full-time
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DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Ann Arbor, MI. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Working closely with teams across perception, prediction, planning, and safety, you will contribute to learned behavior modules that enable safe, efficient, and human-like driving in real-world freight operations.
- Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Responsibilities
- Implement production-quality ML code to support model training, evaluation, and inference within the autonomy stack.
- Collaborate with simulation, validation, and autonomy engineering teams to test and evaluate learned behavior models across diverse driving environments.
- Support the development of tooling and infrastructure that improves experimentation speed, reproducibility, and model iteration.
- Ability to collaborate with cross-functional teams to integrate ML models into larger software systems.
Skills
- Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.
Compensation
- A competitive compensation package that includes a bonus component and stock options
Benefits
- Develop and train machine learning models for learned behavior systems, including approaches such as behavior cloning, imitation learning, and reinforcement learning.
- Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master's degree with 2+ years of experience.
- Experience applying machine learning techniques such as imitation learning, reinforcement learning, or sequence modeling to robotics, autonomous systems, or complex control environments.
- Experience training and evaluating machine learning models using large datasets and scalable compute environments.
- Experience with reinforcement learning frameworks or distributed training systems (e.g., Ray).
- 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.
- A competitive compensation package that includes a bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- Flexibility in schedule and generous paid vacation (available immediately after start date)
Company info
- 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 II - Learned Behaviors, you will help develop and deploy behavior models that power decision-making for autonomous trucks.
- This role focuses on building, validating, and improving machine learning models and infrastructure that support learned behavior systems within the autonomy stack.
- About the Company
- Our culture is collaborative, energetic, and team focused.
This listing is sourced directly from Torc Robotics's careers page and normalized into a canonical job model.