Senior AI Robotics Research Engineer – Humanoid RL

agilityrobotics; Fremont (CA); Ibrido; USD 166.000 - 260.000; Tempo pieno

Vantaggi offerti da questo lavoro

401(k) Plan with 6% company match

Equity: Company stock options

Insurance Coverage: 100% company-paid

Well-Being Support: EAP

Flexible PTO

Relocation Assistance

Descrizione del lavoro

Agility Robotics is seeking a passionate AI researcher to develop and test cutting-edge imitation learning and reinforcement learning methods for humanoid robots. You will work with a team to run experiments on hardware, transfer methods to production, and collaborate across software and AI engineering to enable real-world task execution.

The role emphasizes designing robust locomotion and manipulation policies, building scalable RL infrastructure, and advancing simulation environments to

Competenze

• 3+ years of experience developing and deploying learning-from-demonstration.
• Proficiency in Python and deep learning frameworks such as PyTorch.
• Experience with robot data collection, training, and testing on hardware to perform manipulation tasks.

Mansioni

• 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 transferable to production.

Conoscenze

Python

Deep learning

Learning-from-demonstration

Hardware testing

Formazione

MS in Robotics, Computer Science, or related field

Strumenti

PyTorch

DiffusionPolicy

Descrizione del lavoro

Agility Robotics is seeking a passionate AI researcher to develop and test cutting-edge imitation learning and reinforcement learning methods for humanoid robots. You will work with a team to run experiments on hardware, transfer methods to production, and collaborate across software and AI engineering to enable real-world task execution.

The role emphasizes designing robust locomotion and manipulation policies, building scalable RL infrastructure, and advancing simulation environments to