Applied Scientist III, AWS Startups
Amazon Web Services
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This role on the market
2,075 open scientist roles across 299 companies are on ApplySarthi right now, most of them in Bengaluru (138), Hyderabad (69), Delhi NCR (32).
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What scientist roles keep asking for: Python (55%), Machine learning (44%), SQL (27%), C++ (19%), Java (17%), Deep learning (17%), R (16%), LLMs (15%) — counted across their open postings here.
Applied Scientist jobs in the United States · Applied Scientist jobs in Seattle · Remote Applied Scientist jobs · AWS jobs · C++ jobs · Deep learning jobs · Generative AI jobs
Amazon Web Services has 2,265 open roles listed here.
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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 Web Services.
Questions you are likely to be asked
- Why do you want to join Amazon Web Services?
- What is your experience with Machine learning? 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 III, AWS Startups at Amazon Web Services interview free →AWS Startups supports hundreds of thousands of founders globally — from first credit to scaled production workload. Data and machine learning are how we identify high-potential startups early, personalize Basic qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with LLMs, foundation models, or generative AI, including prompt engineering, fine-tuning, retrieval-augmented generation, or agentic architectures 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, WA, Seattle - 167,100.00 - 226,100.00 USD annually
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Listed on amazon · posted 2026-10-05. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.