Senior AI Research Engineer

The Robot Age; Fremont, Northern (CA, KY); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Agility is hiring a senior AI research engineer for its AI innovation team. The role focuses on robot foundation models and end-to-end policies for humanoid robots, with experiments that can transfer toward production.

You will run imitation learning, reinforcement learning, and real robot testing on deployed humanoid platforms, bridging research and production in a hybrid office setting across Agility's U.S. sites.

Qualifications

• Strong background in robot learning, embodied AI, or applied robotics research.
• Experience with imitation learning, reinforcement learning, or end-to-end policies.
• Ability to implement research ideas and test them on real robotic systems.
• Comfort working in a hybrid office role across U.S. technical sites.

Responsibilities

• Develop robot-learning methods for humanoid manipulation and movement.
• Run experiments on physical robots and analyze real-world performance.
• Build pipelines that connect policy learning, evaluation, and production constraints.
• Collaborate with researchers and engineers to transfer methods from lab to production.

Skills

Robot learning

Embodied AI

Imitation learning

Reinforcement learning

Hybrid work

Job description

What the role actually is

Agility is hiring a senior AI research engineer for its AI innovation team. The role focuses on robot foundation models and end-to-end policies for humanoid robots, with experiments that can transfer toward production.

The posting names imitation learning, reinforcement learning, and real robot testing. This is research engineering on a deployed humanoid platform rather than a purely simulated robotics role.

What you would work on

• Develop robot-learning methods for humanoid manipulation and movement
• Run experiments on physical robots and analyze real-world performance
• Build pipelines that connect policy learning, evaluation, and production constraints
• Work with researchers and engineers on methods that can transfer out of the lab

What they are asking for

• Strong background in robot learning, embodied AI, or applied robotics research
• Experience with imitation learning, reinforcement learning, or end-to-end policies
• Ability to implement research ideas and test them on real robotic systems
• Comfort working in a hybrid office role across Agility's U.S. technical sites

Why this one is worth a look

Humanoid companies are moving from demos toward repeatable capabilities. Agility's role is interesting because it asks for learning methods that can survive contact with deployed robots, warehouses, and manufacturing environments.