Machine Learning Engineer II - Learned Planning (Reinforcement Learning)
Torc RoboticsVisit Torc Robotics website
Torc Robotics is a Daimler Truck subsidiary developing Level 4 autonomous-driving software and systems for long-haul Freightliner Cascadia trucks.
Blacksburg, United States
About Torc Robotics
Founded in 2005 as Torc Technologies, Torc Robotics commercializes self-driving trucking technology, including its virtual-driver software, for freight operations.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop, train, evaluate, and improve machine learning models for learned behavior systems in autonomous trucks. You will build production-quality training and inference code, curate behavior datasets, analyze failures, improve training pipelines, and integrate models into simulation and testing workflows.
Requirements
- Bachelor’s degree in a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience
- Machine learning experience in imitation learning, reinforcement learning, or sequence modeling for robotics, autonomous systems, or complex control environments
- Python and PyTorch programming skills
- Experience training and evaluating machine learning models using large datasets and scalable compute environments
- Understanding of transformers, graph neural networks, or sequence models used in autonomy systems
- Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines
- Ability to collaborate across functions to integrate ML models into larger software systems
Responsibilities
- Develop and train machine learning models for learned behavior systems
- Implement production-quality ML code for training, evaluation, and inference
- Analyze model performance and failure modes and improve robustness and generalization
- Contribute to model training pipelines and data workflows
- Curate behavior datasets from simulation, fleet logs, and on-vehicle data
- Test and evaluate learned behavior models across driving environments
- Integrate learned behavior models into simulation and testing workflows
- Develop tooling and infrastructure for reproducible experimentation and model iteration
- Contribute to model architecture and training-strategy discussions
Benefits
- Bonus component
- Stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401K plan with a 6% employer match
- Flexible schedule
- Generous paid vacation available immediately after start date
- AD+D insurance
- Life insurance