Machine Learning Engineer II – Learned Planning, Reinforcement Learning

Torc Robotics

. Develop and train machine learning models for learned behavior systems, including behavior cloning, imitation learning, and reinforcement learning .

Posted 9/29/2026full-timeAnn Arbor • Michigan • United StatesJuniorMid-Level💰 $153,200 - $183,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and training machine learning models for autonomous systems, with strong programming skills in Python and PyTorch. Proficient in analyzing model performance and collaborating with cross-functional teams to integrate ML models into production environments.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingPyTorch FrameworkImitation LearningReinforcement Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningModel TrainingModel EvaluationData AnalysisBehavior CloningSequence ModelingPerformance MetricsDebuggingProduction-Quality CodeScalable Compute Environments

Soft Skills

CollaborationTechnical Discussion

Tools & Technologies

Simulation EnvironmentsDistributed Training SystemsBehavior DatasetsAutonomous Driving Systems

Industry Keywords

RoboticsAutonomous SystemsControl EnvironmentsVehicle DynamicsMotion PlanningMulti-Agent Decision-Making

Tech Stack

Tools & technologies

PythonPyTorchRay

About the role

Key responsibilities & impact

Develop and train machine learning models for learned behavior systems, including behavior cloning, imitation learning, and reinforcement learning
Implement production-quality ML code for model training, evaluation, and inference within the autonomy stack
Analyze model performance, identify failure modes, and propose improvements for robustness and generalization
Contribute to model training pipelines and data workflows, curating behavior datasets from simulation, fleet logs, and on-vehicle data
Collaborate with simulation, validation, and autonomy engineering teams to test learned behavior models across diverse driving environments
Integrate learned behavior models into simulation and testing workflows
Support tooling and infrastructure that improves experimentation speed, reproducibility, and model iteration
Contribute to technical discussions regarding model architecture and training strategies
Develop software for automated trucks and autonomous driving systems at Torc Robotics

Requirements

What you’ll need

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 imitation learning, reinforcement learning, or sequence modeling to robotics, autonomous systems, or complex control environments
Strong programming skills in Python and PyTorch, with experience writing production-quality ML code
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 with cross-functional teams to integrate ML models into larger software systems
Bonus: Experience in autonomous driving, robotics, or simulation-based training environments
Bonus: Experience with reinforcement learning frameworks or distributed training systems such as Ray
Bonus: Experience with simulation environments or large-scale behavior datasets
Bonus: Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems
Bonus: Experience deploying ML models into production or real-world robotics systems

Benefits

Comp & perks

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
Generous paid vacation available immediately after start date
AD+D and Life Insurance