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The Robot Age is seeking a staff AI research engineer to set the technical direction for robot learning on humanoids. You will shape research priorities and lead experiments bridging theory to embodied robotics performance.
In this role, you mentor researchers, guide end-to-end research initiatives, and translate foundation-model insights into production-facing robotic systems, aiming for generalization and scalable outcomes. This is a high-visibility role with significant impact.
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.
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.