Machine Learning Engineer: Imitation and Reinforcement Learning for Robotics

Job description

Job responsibilities

• Design, train, validate, and launch models for behavior cloning and reinforcement learning
• Build and maintain data ingestion, labeling, and management pipelines to ensure high-quality training datasets
• Build metrics to evaluate model performance in open loop, simulation, and in the real world
• Collaborate with simulation, systems, and infrastructure teams to integrate ML models into real-world autonomous systems
• Deploy and debug these models in real-world environments, addressing practical issues such as latency, hardware constraints, and system integration

Job requirements

• 3+ years of practical experience applying Machine Learning with Deep Learning frameworks, such as PyTorch/Tensorflow/JAX to solve real-world problems
• 3+ years of professional experience building, deploying, and maintaining Machine Learning models in production environments
• Familiarity with recent literature and methods in learned behavior policies
• Practical experience in behavior cloning and/or reinforcement learning
• Bonus: Experience with diffusion policies, Vision-Language-Action (VLA) models, or related technologies
• Bonus: Published work in conferences such as ICRA, IROS, CoRL, CVPR, ECCV, ICCV, ICML, NeurIPS, …