Senior Machine Learning Engineer - Learned Planning/Reinforcement Learning

Torc, a leader in autonomous driving, is seeking a Senior Machine Learning Engineer to develop and deploy machine learning models for autonomous trucks. The role involves designing, developing, and deploying learned behavior models, collaborating with teams across perception, prediction, planning, and safety, and contributing to architecture decisions and model performance improvements.

Requirements

• Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or related technical field with 6+ years of industry experience
• Experience applying reinforcement learning, imitation learning, or sequence modeling to robotics, autonomous systems, or complex control problems
• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code
• Experience training, evaluating, and improving models using large-scale datasets and distributed compute environments
• Solid understanding of ML architectures used in autonomy systems (e.g., transformers, RNNs, graph neural networks, policy networks)
• Ability to translate ambiguous problems into structured ML solutions and deliver results independently
• Experience collaborating cross-functionally to integrate ML models into larger autonomy systems

Benefits

• Competitive compensation package
• 100% paid medical, dental, and vision premiums
• 401K plan with a 6% employer match
• Flexibility in schedule and generous paid vacation
• Company-wide holiday office closures
• AD+D and Life Insurance