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AI Engineer III, AI Controls
AI Engineer III, AI ControlsAgility Robotics • Salem, OR, US
AI Engineer III, AI Controls

AI Engineer III, AI Controls

Agility Robotics • Salem, OR, US
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Agility Robotics is a pioneer in robotics, with our robot, Digit, being the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency robots specifically designed to work alongside people, in spaces built for people.

About the Role

The AI Controls team builds high-rate learned controllers that enable Digit to move robustly, efficiently, and safely in dynamic environments. As an AI Controls Engineer, you will develop and deploy reinforcement learning models for whole-body robot control, integrating perception to enable locally collision-free locomotion and manipulation in real-world environments.

About The Work

  • Design, train, and deploy robust reinforcement learning policies for locomotion, manipulation, and dynamic interactions with the environment.
  • Integrate perception inputs into control policies to achieve obstacle-aware, collision-free motion.
  • Develop and maintain 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.
  • Collaborate with robot software and deployment teams to ship production-quality policies to Digit.

About You

  • 3+ years of experience developing and deploying reinforcement learning models for robotics applications.
  • Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.
  • Experience designing reward functions, tuning hyperparameters, and implementing exploration strategies to solve complex control tasks.
  • Proven experience with perception-in-the-loop control, integrating real-time sensory inputs for reactive or adaptive behaviors.
  • Familiarity with robot simulation environments (e.g. Mujoco, Isaac Sim) and sim-to-real transfer techniques.
  • Ability to work collaboratively in a fast-paced environment to deliver safe, high-quality software.
  • Bonus Qualifications

  • Advanced degree (MS or PhD) in Robotics, Computer Science, or a related field.
  • Experience deploying reinforcement learning policies on real-world bipedal or quadrupedal robots.
  • Experience with C++ for integration of learned controllers into real-time control systems.
  • Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).
  • Full-time Employees are eligible for Benefits :

  • 401(k) Plan : Includes a 6% company match.
  • Equity : Company stock options.
  • Insurance Coverage : 100% company-paid medical, dental, vision, and short / long-term disability insurance for employees.
  • Benefit Start Date : Eligible for benefits on your first day of employment.
  • Well-Being Support : Employee Assistance Program (EAP).
  • Time Off :
  • Exempt Employees : Flexible, unlimited PTO and 10 company holidays, including a winter shutdown.
  • Non-Exempt Employees : 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually.
  • On-Site Perks : Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave : Generous paid parental leave programs.
  • Work Environment : A culture that supports flexible work arrangements.
  • Growth Opportunities : Professional development and tuition reimbursement programs.
  • Relocation Assistance : Provided for eligible roles.
  • Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law.

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