AI Research Engineer, Agility Robotics

• 3+ years of experience developing and deploying learning-from-demonstration
• Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch
• Experience with modern learning-from-demonstration tools like DiffusionPolicy
• Experience with robot data collection, training, and testing on hardware to perform manipulation tasks
• Ability to work collaboratively in a fast-paced environment to deliver safe, high-quality software

Desirable

• The AI innovation team at Agility works on building and deploying next-generation robot foundation models and end-to-end policies on humanoid robots
• Your goal will be to develop and test cutting-edge methods for imitation learning and reinforcement learning on humanoid robots, in order to establish the techniques necessary for humanoid robots to perform different real-world tasks
• You will work on a team, running experiments on humanoid robots, and will research and implement methods which can be transferred into production
• Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment
• Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks
• Design and implement new simulation environments and tasks to support training and deployment of control policies
• Develop, design, and test imitation learning methods
• Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production