ApplySarthi Match jobs to your CV

Applied Scientist, Linear Personalization Experience Team (LPEX)

Amazon.com Services LLC

Make my CV for this job, freeView job and applyYour CV, rewritten for this role using only your real experience. Sign in with Google and upload your CV. Nothing to install.

Skills named in this job

Read from the description itself, not inferred.

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 · Java jobs · Python 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 Deep learning? Tell me one thing you learned the hard way.
  3. What is a weakness you are working on, and how?
  4. Tell me about yourself, and why this role is the right next step.
  5. Tell me about a problem you solved at work that you are proud of.

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.

Practise the Applied Scientist, Linear Personalization Experience Team (LPEX) at Amazon.com Services LLC interview free →

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing Basic qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application 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 in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience building complex recommendations or personalization systems that have been successfully delivered to customers at significant scale. 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

Match this job to your CV

ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.

Check my match →

Similar open roles

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on amazon · posted 2026-09-09. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon.com Services LLC, not by us.