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Applied Scientist II - Personalization, Customer Intent Science

Amazon.com Services LLC

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This role on the market

61 open personalization roles across 26 companies are on ApplySarthi right now.

What personalization roles keep asking for: Machine learning (39%), Python (34%), C++ (26%), Java (26%), Deep learning (16%), LLMs (16%), System design (13%) — counted across their open postings here.

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

Amazon.com Services LLC has 4,316 open roles listed here.

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

Preparing for this interview

Interviews for personalization roles keep coming back to Machine learning, Python, C++, Java. Practise those questions before you sit with Amazon.com Services LLC.

Questions you are likely to be asked

  1. Why do you want to join Amazon.com Services LLC?
  2. What is your experience with C++? Tell me one thing you learned the hard way.
  3. Tell me about a time you disagreed with your manager. What happened?
  4. Where do you want to be in three years?
  5. What is a weakness you are working on, and how?

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

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Are you interested in big data, Machine Learning, and building recommendation services using Generative AI? If so, Amazon's Personalization team might be the right place for you.Key job responsibilities- 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 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 Preferred: - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF - Experience applying theoretical models in an applied environment - Hold patents and/or published in top-tier AI/ML venues (conferences and/or journals). 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 - 142,800.00 - 193,200.00 USD annually

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Listed on amazon · posted 2026-08-08. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon.com Services LLC, not by us.