FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Senior AI Research Engineer
Agility RoboticsAI Research Engineer developing and testing robot foundation models for humanoid robots. Collaborating on cutting-edge methods in imitation learning and reinforcement learning.
Posted 7/2/2026full-timeFremont • California, Oregon, Pennsylvania • 🇺🇸 United StatesSenior💰 $195,000 - $304,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying reinforcement learning and imitation learning methods, with strong programming skills in Python and proficiency in deep learning frameworks like PyTorch. Capable of designing simulation environments and collaborating effectively with engineering teams to implement robust control policies.
Highest-signal resume keywords
Reinforcement Learning DevelopmentImitation Learning MethodsPython ProgrammingDeep Learning FrameworksRobotics Data Collection
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Reinforcement LearningImitation LearningPythonDeep LearningSimulation DesignPolicy DevelopmentData CollectionTraining PipelinesEvaluation FrameworksManipulation Tasks
Soft Skills
CollaborationFast-Paced Environment Adaptability
Tools & Technologies
PyTorchDiffusionPolicy
Certifications & Qualifications
MS in RoboticsMS in Computer Science
Industry Keywords
RoboticsLearning-From-DemonstrationControl PoliciesDynamic Interactions
Tech Stack
Tools & technologiesPythonPyTorch
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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.