Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
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. In addition to driving research direction, you will play a key role in shaping the technical roadmap for robot learning at Agility and leveling up a growing team of junior AI research engineers by providing mentorship, guiding project execution, and establishing solid research and engineering practices.
About the Work
Establish team-level standards for research execution, including experiment tracking, evaluation protocols, and model benchmarking.
Mentor and guide junior AI research engineers through project design, experiment execution, and technical problem solving.
Drive alignment across AI Research and Robotics teams on methods, evaluation, and deployment readiness for learned policies.
Review experimental design, code, and results to ensure rigor, reproducibility, and alignment with research goals.
Help onboard current researchers and accelerate their effectiveness in robot learning and experimental workflows.
Design, train, and deploy robust policies for locomotion, manipulation, and agile interactions with the environment.
Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks.
Design and implement new simulatio
📌 Staff Ai Research Engineer Salem
🏢 Agility Robotics
📍 Salem
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