Staff AI Research Engineer

What the role actually is

Agility is hiring a staff AI research engineer to help set technical direction for robot learning on humanoids. The role covers foundation models, end-to-end policies, imitation learning, reinforcement learning, and real robot experimentation.

Compared with the senior role, this one appears to carry more responsibility for research direction, technical roadmap, and leveling up a growing team.

What you would work on

• Define robot-learning research priorities for humanoid capabilities
• Lead experiments that connect learning methods to physical robot performance
• Mentor researchers and engineers working on embodied AI systems
• Translate foundation-model and policy research into production-facing robotics work

What they are asking for

• Staff-level research engineering experience in robotics, ML, or embodied AI
• Depth in imitation learning, reinforcement learning, or robot foundation models
• Track record guiding technical roadmaps or research direction
• Ability to balance frontier methods with deployed robot constraints

Why this one is worth a look

This is a good signal role for where commercial humanoid teams think robot learning is headed. It is less about one model and more about building the research path from current task performance to broader generalization.