Machine Learning Engineer II - Learned Planning (Reinforcement Learning)

Description: Develop and deploy behavior models for decision-making in autonomous trucks. Focus on building, validating, and improving machine learning models and infrastructure for learned behavior systems. Requirements: Bachelor’s degree in a relevant field with 4+ years of experience, or a Master’s degree with 2+ years of experience. Proficiency in Python and PyTorch, with experience in production-quality ML code and large datasets. Experience with machine learning techniques like imitation learning and reinforcement learning. Understanding of ML architectures used in autonomy systems. Benefits: Competitive compensation package including bonuses and stock options. 100% paid medical, dental, and vision premiums for full-time employees. 401K plan with a 6% employer match. Flexible schedule and generous paid vacation.