AI Research Engineer III

Agility Robotics•Pittsburgh, PA
•$166,000 - $260,000•Hybrid

About The Position

Agility Robotics’ AI innovation team builds and deploys next-generation robot foundation models and end-to-end policies for humanoid robots. The AI Research Engineer will develop and test imitation-learning and reinforcement-learning methods to help humanoid robots perform real-world tasks. The role involves conducting experiments on humanoid hardware and researching and implementing methods that can transfer into production. This is a hybrid position based out of Agility’s Salem, Pittsburgh, or Fremont offices. Applicants must have current authorization to work in the United States.

Requirements

  • At least 3 years of experience developing and deploying learning-from-demonstration methods.
  • Strong programming skills in Python.
  • 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 hardware testing for manipulation tasks.
  • Ability to work collaboratively in a fast-paced environment and deliver safe, high-quality software.
  • Master’s degree in Robotics, Computer Science, or a related field.
  • Current authorization to work in the United States.

Nice To Haves

  • Ph.D. in Robotics, Computer Science, or a related field.
  • Publications in leading machine-learning or robotics conferences, such as NeurIPS, ICML, CoRL, RSS, or ICRA.
  • Familiarity with robot simulation environments such as Mujoco or Isaac Sim, and sim-to-real transfer techniques.
  • Experience with modern reinforcement-learning techniques for locomotion, manipulation, and whole-body control.
  • Experience writing performant, high-quality software in C++.

Responsibilities

  • 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 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 that can be transferred to production.
  • Run experiments on humanoid robots and test methods on hardware.

Benefits

  • 401(k) plan with a 6% company match.
  • Company stock options.
  • Company-paid medical, dental, vision, and short- and long-term disability insurance for employees.
  • Benefits eligibility beginning on the first day of employment.
  • Employee Assistance Program (EAP).
  • Flexible, unlimited PTO and 12 company holidays, including a winter shutdown, for exempt employees.
  • For non-exempt employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • Catered lunches four times a week and healthy snacks and refreshments at Salem and Pittsburgh locations.
  • Paid parental leave programs.
  • Flexible work arrangements.
  • Professional development and tuition reimbursement programs.
  • Relocation assistance for eligible roles.
  • Annual discretionary bonus for eligible roles.
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