Senior AI Robotics Research Engineer (Humanoid RL)

Agility Robotics; California (MO); Hybrid; USD 185,000 - 288,000; Full time

Benefits offered by this job

401(k) Plan with 6% company match

Company stock options

100% company-paid medical, dental, and vision insurance

Unlimited PTO and 10 company holidays

Catered lunches and healthy snacks

Paid parental leave

Professional development and tuition reimbursement

Relocation assistance

Job summary

Agility Robotics in California is seeking an AI Engineer to develop and deploy next-generation robot foundation models with a focus on imitation learning and reinforcement learning. Responsibilities include designing policies for locomotion and manipulation and collaborating with engineering teams. The ideal candidate should have 3+ years of experience in relevant fields, strong programming skills in Python and experience with reinforcement learning techniques. This hybrid role offers a competitive salary and extensive benefits.

Qualifications

• 3+ years of experience developing and deploying learning‑from‑demonstration.
• Experience with modern learning‑from‑demonstration tools.
• Ability to work collaboratively in a fast‑paced environment.

Responsibilities

• Design, train, and deploy robust policies for locomotion and manipulation.
• Collaborate with other engineering teams for production-level policies.
• Develop core reinforcement learning infrastructure.

Skills

Programming skills in Python

Deep learning frameworks (PyTorch)

Learning‑from‑demonstration

Robot data collection

Collaboration

Education

MS in Robotics, Computer Science, or related field

Tools

DiffusionPolicy

C++

Mujoco

Isaac Sim

Job description

Agility Robotics in California is seeking an AI Engineer to develop and deploy next-generation robot foundation models with a focus on imitation learning and reinforcement learning. Responsibilities include designing policies for locomotion and manipulation and collaborating with engineering teams. The ideal candidate should have 3+ years of experience in relevant fields, strong programming skills in Python and experience with reinforcement learning techniques. This hybrid role offers a competitive salary and extensive benefits.