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Principal Applied Scientist, Foundation AI Assets (FAI)

Amazon

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This role on the market

130 open foundation roles across 48 companies are on ApplySarthi right now, most of them in Hyderabad (4), Bengaluru (2), Pune (1).

What foundation roles keep asking for: Python (34%), Machine learning (25%), Salesforce (25%), CRM (23%), Customer success (23%), PyTorch (19%), Stakeholder management (19%), Deep learning (18%) — counted across their open postings here.

Applied Scientist jobs in the United States · Remote Applied Scientist jobs · C++ jobs · Deep learning jobs · Generative AI jobs · Java jobs

Amazon has 16,414 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for foundation roles keep coming back to Python, Machine learning, Salesforce, CRM. Practise those questions before you sit with Amazon.

Questions you are likely to be asked

  1. Why do you want to join Amazon?
  2. What is your experience with C++? 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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Practise the Principal Applied Scientist, Foundation AI Assets (FAI) at Amazon interview free →

The Frontier AI Assets (FAI) team is looking for a passionate, talented, and inventive Principal Applied Scientist with a strong deep learning and generative AI background, to focus on the development Basic qualifications: - 5+ years of hands-on work in predictive modeling and analysis experience - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field - Experience working in predictive modeling and analysis - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives - Experience programming in Java, C++, Python or related language - Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment Preferred: - 10+ years of relevant work in industry or academia experience - Knowledge of problem solving, algorithm design and complexity analysis - Experience creating novel algorithms and advancing the state of the art - Have peer-reviewed scientific contributions in premier journals and conferences 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, Boston - 198,900.00 - 269,000.00 USD annually

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Listed on amazon · posted 2026-10-15. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.