Senior AI Research Engineer
About The Role
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.
About the Work
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
About You
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
MS in Robotics, Computer Science, or a related field.
Bonus Points
PhD in Robotics, Computer Science, or a related field.
Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).
Familiarity with robot simulation environments (e.g. Mujoco, Isaac Sim) and sim-to-real transfer techniques.
Experience with modern reinforcement learning techniques for locomotion, manipulation, and whole-body control
Experience with writing performant, high quality software in C++
This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
Anticipated Salary Range
$195,000—$304,000 USD