ApplySarthi Match jobs to your CV

Senior Applied Science Manager, Alexa for Shopping (Rufus)

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

86 open shopping roles across 21 companies are on ApplySarthi right now, most of them in Bengaluru (11), Delhi NCR (1), Chennai (1).

What shopping roles keep asking for: LLMs (22%), Machine learning (19%), Python (19%), Java (17%), Generative AI (15%), C++ (14%), C# (13%) — counted across their open postings here.

Applied Science Manager jobs in the United States · LLMs jobs · Machine learning jobs

Amazon.com Services LLC has 4,337 open roles listed here.

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

Preparing for this interview

Interviews for shopping roles keep coming back to LLMs, Machine learning, Python, 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 Machine learning? Tell me one thing you learned the hard way.
  3. Tell me about yourself, and why this role is the right next step.
  4. Tell me about a problem you solved at work that you are proud of.
  5. Tell me about a time you disagreed with your manager. What happened?

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 Senior Applied Science Manager, Alexa for Shopping (Rufus) at Amazon.com Services LLC interview free →

Alexa for Shopping (Rufus) is Amazon's new AI-powered shopping assistant that combines the capabilities of Rufus and Alexa+ to provide a more personalized and intelligent shopping experience. We are building Basic qualifications: - 8+ years of building large-scale machine learning and AI solutions at Internet scale experience - 3+ years of science or engineering team management experience - Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent) - Experience building large-scale machine learning and AI solutions at Internet scale - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives Preferred: - 10+ years of practical work applying ML to solve complex problems for large-scale applications experience - 5+ years of science or engineering team management experience - PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent) - Experience in practical work applying ML to solve complex problems for large scale applications - Experience in LLM post-training (SFT and RL) a plus Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, CA, Palo Alto - 251,600.00 - 340,300.00 USD annually USA, WA, Seattle - 218,800.00 - 295,900.00 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 2026-09-01. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon.com Services LLC, not by us.