Senior AI Research Engineer

Agility Robotics; Pittsburgh (Allegheny County); Hybrid; USD 195,000 - 304,000; Full time

Benefits offered by this job

401(k) match

Equity

Medical insurance

Dental insurance

Vision insurance

Short/long-term disability

Job summary

Agility Robotics is hiring for an AI/Robotics role focused on building and testing imitation and reinforcement learning methods for humanoid robots. You will run experiments on hardware, develop production-ready policies, and collaborate with software and AI teams to transfer methods to real-world deployment.

The role offers a hybrid work setup with offices in Salem, Pittsburgh, or Fremont, and a compensation package reflecting the US market.

Qualifications

• 3+ years of experience developing and deploying learning-from-demonstration
• Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.
• Experience with modern learning-from-demonstration tools like DiffusionPolicy
• Experience with robot data collection, training, and testing on hardware to perform 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.

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 new 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 which can be transferred to production

Skills

Python

PyTorch

Learning-from-demonstration

Robotics data collection

Collaboration

DiffusionPolicy

Education

MS in Robotics, Computer Science, or related field

Tools

DiffusionPolicy

Mujoco

Isaac Sim

Job description

Job Description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

About The Role

The AI innovation team at Agility works on building and deploying next-generation robot foundation models and end-to-end policies on humanoid robots. Your goal will be to develop and test cutting‑edge methods for imitation learning and reinforcement learning on humanoid robots, in order to establish the techniques necessary for humanoid robots to perform different real‑world tasks. You will work on a team, running experiments on humanoid robots, and will research and implement methods which can be transferred into production.

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 of control policies.
• Develop, design, and test imitation learning methods
• Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production

About You

• 3+ years of experience developing and deploying learning-from-demonstration
• Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.
• Experience with modern learning-from-demonstration tools like DiffusionPolicy
• Experience with robot data collection, training, and testing on hardware to perform 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 or 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 techniques for locomotion, manipulation, and whole‑body control
• Experience with writing performant, high quality software in C++

This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job‑related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Salary Range

$195,000—$304,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full‑time employees:

• 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 12 company holidays, including a winter shutdown.
  • Non‑Exempt Employees: 10 vacation days, paid sick leave, and 12 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.
• Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

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. Agility Robotics prohibits any such discrimination or harassment.