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Senior Applied Scientist, Frontier AI Tooling

Amazon Web Services

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2,521 open scientist roles across 381 companies are on ApplySarthi right now, most of them in Bengaluru (145), Hyderabad (77), Delhi NCR (27).

What scientist roles keep asking for: Python (62%), Machine learning (51%), SQL (29%), LLMs (20%), Deep learning (18%), C++ (18%), R (18%), Java (15%) — counted across their open postings here.

Applied Scientist jobs in the United States · Remote Applied Scientist jobs · Machine learning jobs · Python jobs · SQL jobs

Amazon Web Services has 2,227 open roles listed here.

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Preparing for this interview

Interviews for scientist roles keep coming back to Python, Machine learning, SQL, LLMs. Practise those questions before you sit with Amazon Web Services.

Questions you are likely to be asked

  1. Why do you want to join Amazon Web Services?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. Walk me through a model you built, from the data to how it was used.
  4. How did you know your model was actually good, and not just good on your test set?
  5. Tell me about a time the data was messy or wrong. What did you do?

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The role will be key to building the products and experiences that will be used by Proserve and Frontier AI organization to deliver business outcomes to our customersAre you excited about building products Basic qualifications: - PhD, or Master's degree and 6+ years of building machine learning models for business application experience - Experience with SQL and Python scripting - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - Experience managing and deploying ML products Preferred: - Experience working with stakeholders, or experience using financial models, KPIs, and data analysis to inform business decisions with proven business impact (e.g., financial savings, operational improvements, or customer benefits) - PhD or equivalent research experience, or a Master's degree and experience in patents or publications at top-tier peer-reviewed conferences or journals - Depth in large language models and agentic system - Experience mentoring or developing other scientists. 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 USA, TX, Austin - 167,100.00 - 226,100.00 USD annually USA, VA, Arlington - 167,100.00 - 226,100.00 USD annually USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

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Listed on amazon · posted 2026-10-13. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.