ML Engineer II: Learned Behaviors for Autonomous Trucks

Torc Robotics; Ann Arbor (MI); Hybrid; USD 153,000 - 184,000; Full time

Benefits offered by this job

Bonus component

Stock options

Medical coverage

401K match

Flexible vacation

AD+D Insurance

Job summary

Torc Robotics is seeking a Machine Learning Engineer II – Learned Behaviors to help develop and deploy behavior models powering autonomous trucks. You will work with perception, prediction, planning, and safety teams to create safe, efficient, human‑like driving in real‑world freight operations.

You will build, validate, and improve ML models and infrastructure for learned behavior systems within the autonomy stack, partnering with simulation and autonomy engineering teams to ensure robust

Qualifications

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or related field with 4+ years of industry experience, or Master’s with 2+ years.
• Experience applying ML techniques such as imitation learning or reinforcement learning to autonomous systems.
• Strong Python and PyTorch skills with production‑quality ML code experience.
• Experience training/evaluating ML models on large datasets with scalable compute.
• Understanding ML architectures used in autonomy, such as transformers or graph networks.
• Ability to debug model behavior and iterate on training pipelines.

Responsibilities

• Develop and train ML models for learned behavior systems (behavior cloning, imitation, RL).
• Implement production‑quality ML code for training, evaluation, and inference.
• Analyze model performance, identify failures, and improve robustness across scenarios.
• Contribute to model training pipelines and data workflows (simulation, logs, on‑vehicle data).
• Collaborate with teams to test models across diverse driving environments.
• Integrate learned behavior models into simulation/testing workflows for faster iteration.
• Support tooling and infrastructure to improve experimentation speed and reproducibility.
• Participate in discussions on model architecture and training strategies.

Skills

Python

PyTorch

Machine learning

Reinforcement learning

Sequence modeling

Autonomous systems

Data pipelines

Production ML

Education

Bachelor’s degree in CS/Robotics/EE/ML

Master’s degree

Tools

Ray

Simulation tools

Git

Job description

Torc Robotics is seeking a Machine Learning Engineer II – Learned Behaviors to help develop and deploy behavior models powering autonomous trucks. You will work with perception, prediction, planning, and safety teams to create safe, efficient, human‑like driving in real‑world freight operations.

You will build, validate, and improve ML models and infrastructure for learned behavior systems within the autonomy stack, partnering with simulation and autonomy engineering teams to ensure robust