Applied Scientist, Alexa Smart Home
Amazon
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This role on the market
2,031 open scientist roles across 269 companies are on ApplySarthi right now, most of them in Bengaluru (133), Hyderabad (72), Delhi NCR (32).
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What scientist roles keep asking for: Python (49%), Machine learning (37%), SQL (23%), C++ (18%), Java (17%), Deep learning (14%), R (14%), LLMs (13%) — counted across their open postings here.
Remote Applied Scientist jobs · C++ jobs · Computer vision jobs · Java jobs · LLMs jobs
Amazon has 14,436 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 scientist roles keep coming back to Python, Machine learning, SQL, C++. 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 LLMs? Tell me one thing you learned the hard way.
- What is a weakness you are working on, and how?
- Tell me about yourself, and why this role is the right next step.
- Tell me about a problem you solved at work that you are proud of.
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Practise the Applied Scientist, Alexa Smart Home at Amazon interview free →Are you a PhD interested in machine learning, natural language processing, computer vision, automated reasoning, robotics, or quantum technologies? We are looking for skilled scientists capable of putting Basic qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Depth of Knowledge in specialty areas as LLM, RAG, Multi-modal LLMs, Recommender Systems Preferred: - Experience using Unix/Linux - Experience in professional software development 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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 149,300.00 - 249,300.00 CAD annually
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Listed on amazon · posted 2026-06-09. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.