Senior AI Research Engineer developing and deploying next-generation robot foundation models and end-to-end policies. Researching and implementing methods for humanoid robots to perform real-world tasks in a hybrid work environment.
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
Requirements
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.
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.
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