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AI Research Engineer III
Agility Robotics. Develop and test cutting-edge imitation learning and reinforcement learning methods on humanoid robots .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying imitation learning and reinforcement learning methods for humanoid robots, with strong programming skills in Python and proficiency in deep learning frameworks like PyTorch. Capable of designing robust policies for locomotion and manipulation while collaborating effectively in a fast-paced environment.
Highest-signal resume keywords
Imitation Learning DevelopmentReinforcement Learning MethodsPython ProgrammingDeep Learning FrameworksRobotics Software Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Imitation LearningReinforcement LearningPythonDeep LearningPolicy DesignSimulation Environment DesignTraining Pipeline DevelopmentRobotics Data CollectionManipulation Tasks TestingEvaluation Frameworks
Soft Skills
Collaborative WorkFast-Paced Environment AdaptabilityHigh-Quality Software Delivery
Tools & Technologies
PyTorchDiffusionPolicy
Certifications & Qualifications
MS in RoboticsMS in Computer Science
Industry Keywords
Humanoid RobotsLearning-From-DemonstrationRobotics EngineeringControl PoliciesDynamic Environmental Interactions
Tech Stack
Tools & technologiesPythonPyTorch
About the role
Key responsibilities & impact- Develop and test cutting-edge imitation learning and reinforcement learning methods on humanoid robots
- Design, train, and deploy robust policies for locomotion, manipulation, and dynamic environmental interactions
- Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks
- Design and implement simulation environments and tasks for training and deployment of control policies
- Develop, design, and test imitation learning methods
- Collaborate with Robotics Software and AI engineering teams to transfer policies into production
- Run experiments on humanoid robots and research methods for real-world task performance
Requirements
What you’ll need- 3+ years of experience developing and deploying learning-from-demonstration
- 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 testing on hardware for 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
- Current authorization to work in the United States
Benefits
Comp & perks- 401(k) Plan with a 6% company match
- Company stock options
- 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees
- Benefits eligible on the first day of employment
- Employee Assistance Program (EAP)
- Flexible, unlimited PTO and 12 company holidays, including a winter shutdown, for exempt employees
- 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually, for non-exempt employees
- Catered lunches four times a week and healthy snacks and refreshments at Salem and Pittsburgh locations
- Generous paid parental leave programs
- Flexible work arrangements
- Professional development and tuition reimbursement programs
- Relocation assistance for eligible roles
- Annual discretionary bonus for eligible roles