Research Scientist, Mobile Manipulation Robotics (I/O)
Amazon
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This role on the market
17 open manipulation roles across 5 companies are on ApplySarthi right now.
- (Senior) AI Engineer - Reinforcement Learning ManipulationRivr
- Robot Learning Engineer - ManipulationApplied
- Humanoid Robot Learning Intern, Isaac Loco-Manipulation - 2027Nvidia
- Robotics Algorithms Engineer, Manipulation & ControlPath Robotics
What manipulation roles keep asking for: Python (53%), C++ (47%), Machine learning (41%), PyTorch (24%), Java (18%) — counted across their open postings here.
Research Scientist jobs in the United States · Remote Research Scientist jobs · Deep learning jobs · Machine learning jobs · PyTorch jobs · Python jobs
Amazon has 14,204 open roles listed here.
- Controls Technician, Controls Deployment & Service Indiahyderabad
- Applied Scientist II, RBS Techbengaluru
- Data Scientist II, EU Prime and Marketing Analytics & Science (PRIMAS)bengaluru
- Investigation SME, Flex Investigations and Offboardinghyderabad
- Investigation Specialist II, Flex Investigations and Offboardinghyderabad
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for manipulation roles keep coming back to Python, C++, Machine learning, PyTorch. Practise those questions before you sit with Amazon.
Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with Deep learning? Tell me one thing you learned the hard way.
- How do you keep an app smooth on low-end phones?
- Tell me about an app release that went wrong. What happened next?
- How do you handle offline use and poor networks in an app?
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Practise the Research Scientist, Mobile Manipulation Robotics (I/O) at Amazon interview free →Amazon Robotics is transforming warehouse automation through edge AI and machine learning applied to real-world robotics challenges. We're seeking a Research Scientist to advance our mobile manipulation Basic qualifications: - 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience - PhD, or Master's degree and 5+ years of quantitative field research experience - 2+ years of designing experiments and statistical analysis of results experience - Experience communicating complex ideas to technical and non-technical audiences - Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) Preferred: - Experience converting research studies into tangible real-world changes - Experience with discrete and continuous optimization methodologies and algorithms 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, North Reading - 159,200.00 - 215,300.00 USD annually
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Listed on amazon · posted 2026-09-24. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.