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Key job responsibilities
- Develop controllers that leverage reinforcement learning, imitation learning, or other advanced AI techniques to achieve natural, robust, and adaptive motor behaviors
- Collaborate with multi-disciplinary teams to integrate motor control systems with robotic hardware, ensuring alignment with real-world constraints such as actuator dynamics and energy efficiency
- Use simulation and real-world testing to refine and validate control algorithms
- Stay updated on advancements in robotics, AI, and control systems to apply advanced techniques to robotic motion challenges
- Lead technical projects from conception through production deployment
- Mentor junior scientists and engineers
- Bridge research initiatives with practical engineering implementation Basic Qualifications: - PhD, or Master's degree and 6+ years of applied research experience
- 3+ years of industry or academic research experience
- Experience in Java, C++, Python, or a related language
- Experience leading technical initiatives and key deliverables
- Experience in mentoring, leading, or managing more junior engineers
- Strong publication record at major Robotics/ML/AI conferences (e.g., RSS, CoRL, ICRA, IROS, NeurIPS, ICML, ICLR)
- Experience with simulation environments for robot learning (Isaac Gym/Lab, MuJoCo, or similar)
- Experience with sim-to-real transfer for robotic systems
- Strong understanding of kinematics and motion planning for robotic systems
- Experience with reinforcement learning, imitation learning, or other AI techniques applied to robotic motor control Preferred Qualifications: - Experience working with PyTorch or JAX software, or experience programming with at least one software programming language
- History of impactful first-author publications at major conferences
- Experience with large-scale distributed training for RL
- History of technical leadership and cross-functional collaboration
- Experience bridging research with practical engineering implementation in robotics systems
- Experience bridging academic research and production robotics
- Experience integrating perception systems (e.g., vision and touch sensors) into motor control pipelines
- Familiarity with hardware constraints and actuator dynamics for robots
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 183,800.00 - 248,700.00 USD annually
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