Senior AI Research Engineer

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About the role

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. 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 In addition to base pay, our competitive total rewards package consists of the following for full-time employees: • 401(k) Plan: Includes a 6% company match. • Equity: Company stock options. • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. • Benefit Start Date: Eligible for benefits on your first day of employment. • Well-Being Support: Employee Assistance Program (EAP). • Time Off: • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. • Parental Leave: Generous paid parental leave programs. • Work Enviro

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