Torc Robotics

Senior Machine Learning Engineer - Learned Planning/Reinforcement Learning

Remote - U.S, Ann Arbor, MI · Senior · Full-time

Sponsorship not specified$226k-$272kDetected 16 days ago

PythonMachine LearningPyTorchNLPA/B TestingRoboticsElectrical Engineering

About the role

This role focuses on owning model development and delivery for scoped problem areas, contributing to architecture decisions, and driving improvements in model performance, reliability, and iteration speed within the autonomy stack.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

Own end-to-end model development for scoped problem areas, from data ingestion and training to evaluation and deployment
Write production-quality ML code to support scalable training, evaluation, and inference workflows
Collaborate with simulation, validation, and autonomy teams to test and evaluate learned behavior models across diverse environments
Ability to translate ambiguous problems into structured ML solutions and deliver results independently
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.
Working closely with teams across perception, prediction, planning, and safety, you will build learned behavior systems that enable safe, efficient, and human-like driving in real-world freight environments.

Experience in autonomous driving, robotics, or simulation-based training environments
Experience working with simulation environments, scenario generation, or large-scale behavior datasets
Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems
Experience deploying ML models into production or real-world robotics systems
Experience integrating learned behavior models into validation and V&V workflows
Background in multi-agent modeling, driver behavior modeling, or long-horizon decision-making systems

Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.

A competitive compensation package that includes a bonus component and stock options

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.
As a Senior Machine Learning Engineer - Learned Planner / Reinforcement Learning, you will develop and deploy machine learning models that drive decision-making for autonomous trucks.
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-wide holiday office closures
AD+D and Life Insurance

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
Meet the Team
Our culture is collaborative, energetic, and team focused.
We are also open to hiring Remote in the United States
For this position, we are open to hiring in either the Ann Arbor, MI OR Blacksburg, VA (U.S.) office work locations in a hybrid capacity.

This listing is sourced directly from Torc Robotics's careers page and normalized into a canonical job model.