Agility Robotics currently has 11 active AI-related job listings. The hiring is distributed across several stages, with "application" and "agents" each representing 36% of the roles. The dominant function is Engineering, with 10 roles, and the primary hiring country is the United States, with 5 positions. The company is frequently seeking expertise in embodied AI, model serving, and RL robotics. In the last 30 days, Agility Robotics posted 2 new AI roles, a decrease from the prior 30-day period.
Currently tracking 8 active AI roles, down 10% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $55k–$402k (avg $220k).
Agility Robotics currently has 11 active AI-related roles in our index. The most common open titles are: Director of AI, Lead Data Scientist, Robotics, Senior AI Research Engineer, Senior AI Software Engineer, AI Controls, Senior Manager, AI Innovation. Most positions are in Engineering and Research.
Agility Robotics's active AI hiring is concentrated in: application (36%), agents (36%), data (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Agility Robotics is hiring AI talent in: United States (5 roles).
Job postings at Agility Robotics most frequently mention: Robotics, Robot Manipulation, Robotics Simulation, Motion Planning, Manufacturing.
In the past 30 days, Agility Robotics has posted 2 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| AI Intern AI Intern role focused on robot learning for humanoid robots, involving research projects in reinforcement learning, loco-manipulation, and improving data collection, training, and evaluation frameworks. The intern will work with robot hardware and analyze experimental data. | DataPost-train | 8 |
| Senior Manager, AI Innovation Senior Manager of AI Innovation at Agility Robotics, a humanoid robotics company. This role bridges AI/ML research and functional robotic applications, driving research to derisk the product roadmap by solving complex robotics challenges (perceptive real-time planning, whole body-control, learning from demonstration) on a 1-2 year horizon. Responsibilities include overseeing innovation projects from concept to MVP on humanoid platforms, accelerating data flywheel strategy (teleoperation, synthetic data, fleet learning), partnering with hardware/software teams, and managing a team of researchers and engineers. Requires advanced degree, 8+ years AI/ML experience (3+ in management), demonstrated experience in real-time AI for robotics, expertise in computer vision, reinforcement learning, and LLMs for robotics, and experience deploying models on resource-constrained edge devices. | ShipData | 8 |