Machine Learning Engineer II

Job Summary

Collaborating closely with perception, prediction, planning, and safety teams, the full-time Machine Learning Engineer II will develop and deploy behavior models that enhance decision-making for autonomous trucks, while working remotely or from the office in Montreal or Ann Arbor.

Key responsibilities

• Develop and train machine learning models for acquired behavior systems using techniques like behavior cloning, imitation learning, and reinforcement learning
• Implement production-quality AI code to support training, evaluation, and inference of models within the autonomy stack
• Analyze model performance, identify failure modes, and propose improvements to enhance robustness across various scenarios

Required qualifications

• Bachelor's degree in computer science, robotics, electrical engineering, machine learning, or a related technical field with at least 4 years of experience, or a master's degree with at least 2 years of experience
• Experience applying machine learning techniques such as imitation learning, reinforcement learning, or sequence modeling in autonomous systems or complex control environments
• Strong programming skills in Python and PyTorch, with experience in writing production-quality AI code
• Experience training and evaluating machine learning models using large datasets and adaptive computing environments
• Understanding of AI architectures used in autonomous driving systems, such as transformers, graphical neural networks, or sequence models