3+ years of experience in learning-from-demonstration techniques
Strong programming skills in Python and proficiency in PyTorch
Experience using modern learning-from-demonstration tools like DiffusionPolicy
Hands-on experience with robot data collection and manipulation tasks
Ability to thrive in a collaborative, fast-paced environment
MS in Robotics, Computer Science, or related field
Responsibilities
Design, train, and deploy policies for locomotion and manipulation
Develop reinforcement learning infrastructure and scalable training pipelines
Create new simulation environments to support training
Implement and test imitation learning methods
Collaborate with robotics and AI engineering teams for production-ready policies
Benefits
401(k) Plan with 6% company match
100% company-covered medical, dental, and vision insurance
Eligible for benefits from day one
Flexible unlimited PTO for exempt employees and 10 vacation days for non-exempt employees
Catered lunches and healthy snacks at Salem and Pittsburgh locations
Parental leave programs
Professional development and tuition reimbursement available
Relocation assistance and annual discretionary bonus for eligible roles
Full Job Description
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.
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 does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
Apply Now: https://grnh.se/b444bbd04us
About Agility Robotics
Agility Robotics is a robotics company that designs and builds bipedal robots for a variety of applications. The company's robots are designed to operate in human environments, and are capable of navigating stairs, uneven terrain, and other obstacles. Agility Robotics' robots are used in a variety of industries, including logistics, delivery, and inspection. The company was founded in 2015 and is based in Albany, Oregon.
