Ingénieur·e en apprentissage automatique, II
New
T
Torc RoboticsAutonomous Vehicles
Remote - US, Ann Arbor, MI, Montreal, Canada, Remote - CanadaFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- Bachelor's with at least 4 years or Master's with at least 2 years
- Required Skills
- PythonMachine LearningPyTorch
Requirements
- Bachelor's degree in CS, Robotics, Electrical Engineering, Machine Learning, or related field with at least 4 years experience, or Master's with at least 2 years.
- Experience applying machine learning techniques (imitation learning, reinforcement learning, sequence modeling) to robotics or autonomous systems.
- Robust programming skills in Python and PyTorch.
- Experience with production-quality ML coding.
- Experience training and evaluating models using large datasets and adaptive compute environments.
- Understanding of ML architectures in autonomous driving (transformers, graph neural networks, sequence models).
- Experience in model behavior debugging and performance metric analysis.
- Ability to collaborate with multidisciplinary teams.
Responsibilities
- Develop and train machine learning models for acquired behavior systems, including imitation learning and reinforcement learning.
- Implement production-quality ML code for training, evaluation, and inference.
- Analyze model performance, identify failure modes, and propose improvements.
- Contribute to model training pipelines and data workflows, organizing datasets from simulation and vehicle logs.
- Collaborate with simulation and autonomy teams to test models across various environments.
- Assist in integrating models into simulation workflows.
- Support the development of tools and infrastructure to improve experimentation speed.
- Contribute to technical discussions regarding model architectures and training strategies.
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