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As an AI Research Scientist, Large Scale Behavior Cloning on the Atlas team, you will drive the development of scalable, generalizable behavior models that enable our humanoid robot to master complex mobile manipulation tasks and generalize to new situations. You will work alongside a team of leading experts in robotics, machine learning, and control, contributing to groundbreaking advancements in robot autonomy and intelligence.
Job Responsibility:
Implement large-scale imitation learning pipelines to train powerful generalist agents
Design hierarchical planning and control systems that leverage learned skills and knowledge
Integrate learning-based modules into complex robotic systems to enable broadly capable manipulation
Develop and implement algorithms that enable robots to efficiently explore and learn in the real world
Write high-quality (documented, tested, maintainable) C++ and Python code
Requirements:
MS with 3+ years of industry experience or PhD in Robotics, Computer Science, Machine Learning, or a related field
Prior experience training and deploying learned policies for complex behaviors in robots or simulated characters
Experience with common ML tools, architectures, and workflows
Strong analytical and debugging skills
Nice to have:
PhD in Robotics, Computer Science, Machine Learning, or a related field
Experience with modern behavior cloning technologies
Experience with robot hardware and real-world robot deployments