Applied Scientist II, Reinforcement Learning
Amazon.com Services LLC
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This role on the market
30 open reinforcement roles across 16 companies are on ApplySarthi right now, most of them in Hyderabad (1), Bengaluru (1).
- AI Engineer - Reinforcement Learning (Senior)Rivr
- Senior Reinforcement Learning EngineerAnybotics
- Lead Data Scientist - Recommendations (applied ML, Reinforcement Learning, Contextual Bandit Design)Target
- Manager, Data Scientist -Advanced Recommenders and Personalization Systems (Transformers, LLMs & Reinforcement Learning)Capitalone
- Research Operations, Reinforcement LearningAnthropic
What reinforcement roles keep asking for: Machine learning (60%), Python (57%), PyTorch (43%), Supply chain (30%), LLMs (27%), C++ (23%), Deep learning (23%), Computer vision (20%) — counted across their open postings here.
Applied Scientist jobs in the United States · Remote Applied Scientist jobs · C++ jobs · Java jobs · MATLAB jobs · Python jobs
Amazon.com Services LLC has 4,316 open roles listed here.
- Delivery Station Customer Service Associate
- Delivery Station Customer Service Associate, DSL
- Senior Business Intelligence Engineer, North America Supply Chain Execution Strategy
- Mechatronics & Robotics Tech
- Automation Engineer Manager
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for reinforcement roles keep coming back to Machine learning, Python, PyTorch, Supply chain. Practise those questions before you sit with Amazon.com Services LLC.
Questions you are likely to be asked
- Why do you want to join Amazon.com Services LLC?
- What is your experience with C++? Tell me one thing you learned the hard way.
- Tell me about a problem you solved at work that you are proud of.
- Tell me about a time you disagreed with your manager. What happened?
- Where do you want to be in three years?
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Practise the Applied Scientist II, Reinforcement Learning at Amazon.com Services LLC interview free →Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that Basic qualifications: - PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience - Experience with imitation learning and reinforcement learning for whole-body control - Experience with methods such as hierarchical quadratic programming and model-predictive control - Experience with simulation environments such as IsaacLab, Mujoco, Drake, etc. - Experience with developing and deploying code for real-time controllers - Experience in state estimation from multiple sensor modalities Preferred: - Experience in Java, C++, Python, or a related language - Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization - PhD in Robotics, with a focus on whole-body control - Experience with low-level joint torque/impedance control - Experience with teleoperation systems - Experience with robotics frameworks for fast prototyping (Matlab, ROS, etc.) 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, MA, N.Reading - 142,800.00 - 193,200.00 USD annually
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Listed on amazon · posted 2026-09-09. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon.com Services LLC, not by us.