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Staff AI Research Engineer

Agilityrobotics · Hybrid- Any Office (Fremont, CA, Salem, OR, or Pittsburgh, PA) · 2026-06-24

executive
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About this role

<div class="content-intro"><p>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.</p></div><h1><span style="font-size: 12pt;"><strong>About The Role</strong></span></h1> <p><span style="font-size: 10pt;">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 strong research and engineering practices. </span></p> <h2><span style="font-size: 12pt;"><strong>About the Work</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Establish team-level standards for research execution, including experiment tracking, evaluation protocols, and model benchmarking.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Mentor and guide junior AI research engineers through project design, experiment execution, and technical problem solving.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Drive alignment across AI Research and Robotics teams on methods, evaluation, and deployment readiness for learned policies. </span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Review experimental design, code, and results to ensure rigor, reproducibility, and alignment with research goals.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Help onboard new researchers and accelerate their effectiveness in robot learning and experimental workflows.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Design and implement new simulation environments and tasks to support training and deployment of control policies.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Develop, design, and test imitation learning methods.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production.</span></li> </ul> <h2><span style="font-size: 12pt;"><strong>About You</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">7+ years of total experience in software engineering and/or AI/robotics.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">3+ years of hands-on experience developing and deploying learning-from-demonstration, reinforcement learning, imitation learning, foundation models, or related robot learning systems in real-world or simulated robotics environments </span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Proven ability to mentor and develop junior engineers or researchers, raising the technical bar of a team.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Track record of leading complex technical initiatives and influencing technical direction from research through deployment.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Strong ability to translate ambiguous research problems into structured, executable work for a team.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience with modern learning-from-demonstration tools such as DiffusionPolicy.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience with robot data collection, training, and testing on hardware for manipulation tasks.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">MS in Robotics, Computer Science, or a related field.</span></li> </ul> <h2><span…

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