AI Research Engineer III
Agility Robotics · Hybrid- Any Office (Fremont, CA, Salem, OR, or Pittsburgh, PA)
About this role
**AI Research Engineer III — Agility Robotics (Hybrid)** Agility’s commercially deployed humanoids work alongside teams in warehouses, manufacturing facilities, and distribution centers—handling physically demanding, repetitive tasks while enabling workers to focus on higher-value work. ## About the Role The AI innovation team builds and deploys next-generation robot foundation models and end-to-end policies for humanoid robots. You’ll develop and test cutting-edge imitation learning and reinforcement learning methods so humanoids can perform a variety of real-world tasks. You’ll run experiments on humanoid robots, research and implement methods that can transfer into production, and collaborate closely with robotics software and AI engineering teams. ## About the Work - 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 - Develop, design, and test **imitation learning** methods - Collaborate with Robotics Software and AI engineering teams to create policies that can be transferred to production ## About You - **3+ years** of experience developing and deploying learning-from-demonstration - Strong **Python** skills and proficiency with deep learning frameworks such as **PyTorch** - Experience with modern learning-from-demonstration tools such as **DiffusionPolicy** - Experience with **robot data collection, training, and testing on hardware** for manipulation tasks - Ability to work collaboratively in a fast-paced environment to deliver safe, high-quality software - **MS** in Robotics, Computer Science, or a related field ## Bonus Points - **PhD** in Robotics, Computer Science, or a related field - Publications in top ML/robotics conferences (e.g., **NeurIPS, ICML, CoRL, RSS, ICRA**) - Familiarity with robot simulation environments (e.g., **MuJoCo, Isaac Sim**) and **sim-to-real** transfer techniques - Experience with modern reinforcement learning for locomotion, manipulation, and whole-body control - Experience writing performant, high-quality **C++** software ## Location & Compensation - **Hybrid** position based out of **Salem, Pittsburgh, or Fremont** offices - **Anticipated salary range:** **$166,000–$260,000 USD** ## Benefits (Full-Time) - **401(k)** with **6% company match** - **Equity:** company stock options - **Insurance:** 100% company-paid medical, dental, vision, and short/long-term disability - **Benefits start:** eligible on your first day - **EAP** (Employee Assistance Program) - **Time off:** - Exempt: flexible unlimited PTO + 12 company holidays (including winter shutdown) - Non-exempt: 10 vacation days, paid sick leave, + 12 company holidays (including winter shutdown) annually - **On-site perks:** catered lunches 4x/week + snacks/refreshments (Salem & Pittsburgh) - **Parental leave:** generous paid programs - **Work environment:** culture supporting flexible work arrangements - **Growth:** professional development + tuition reimbursement - **Relocation assistance** (for eligible roles) - **Annual discretionary bonus** (for eligible roles) *All roles are U.S.-based. Applicants must have current authorization to work in the United States.*
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