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Machine Learning Engineer II

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Machine Learning Engineer II in USA new

  • Torc Robotics
  • Full time
  • Email
  • Remote

Responsibilities

  • Develop and train learned behavior models using behavior cloning, imitation learning, reinforcement learning, and related approaches.
  • Implement production-quality machine learning code for model training, evaluation, and inference within the autonomy stack.
  • Analyze model performance and failure modes and improve robustness and generalization across driving scenarios.
  • Build training pipelines and data workflows using behavior datasets from simulation, fleet logs, and on-vehicle data.
  • Collaborate with simulation, validation, and autonomy engineering teams to test and integrate learned behavior models.
  • Develop tooling and infrastructure that improve experimentation speed, reproducibility, and model iteration.
  • Contribute to technical discussions about model architectures and training strategies.

Requirements

  • 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 and experience writing production-quality machine learning code.
  • Experience training and evaluating machine learning models with large datasets and scalable compute environments.
  • Understanding of autonomy-related ML architectures such as transformers, graph neural networks, and sequence models.
  • Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines.
  • Ability to collaborate across teams and integrate ML models into larger software systems.
  • Preferred experience includes autonomous driving, robotics, simulation-based training, reinforcement learning frameworks, distributed training systems such as Ray, vehicle dynamics, motion planning, multi-agent decision-making, and production ML deployment.

Benefits

  • Competitive compensation package with bonus and stock options.
  • 100% paid medical, dental, and vision premiums for full-time employees.
  • 401(k) plan with a 6% employer match.
  • Flexible schedule and generous paid vacation available immediately after the start date.
  • AD&D and life insurance.
  • Hybrid work is available from the Ann Arbor, Michigan office, or the role may be performed remotely within the United States.

Salary: $153k - $184k/yr

Torc Robotics

Torc Robotics, headquartered in Blacksburg, Virginia, offers a complete autonomous software solution for the trucking/freight industry. Torc was acquired by Daimler – the largest heavy-duty truck manufacturer in North America – in August 2019. We are working together to develop highly automated t...

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