Senior Applied Science Manager, Alexa for Shopping (Rufus)
Amazon
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This role on the market
91 open shopping roles across 8 companies are on ApplySarthi right now, most of them in Bengaluru (12), Chennai (4), Delhi NCR (1).
- Activation Bonus PM, Capital One Shopping (Remote-Eligible)Capitalone
- Technical Program Manager II, Shopping PlatformsPinterest
- Vice President-Marketing Strategy Lead, Shopping Innovation & AI StrategyJPMorgan
What shopping roles keep asking for: Machine learning (22%), Python (22%), LLMs (21%), Java (16%), Generative AI (14%), C++ (13%), C# (12%) — counted across their open postings here.
LLMs jobs · Machine learning jobs
Amazon has 14,204 open roles listed here.
- Controls Technician, Controls Deployment & Service Indiahyderabad
- Applied Scientist II, RBS Techbengaluru
- Data Scientist II, EU Prime and Marketing Analytics & Science (PRIMAS)bengaluru
- Investigation SME, Flex Investigations and Offboardinghyderabad
- Investigation Specialist II, Flex Investigations and Offboardinghyderabad
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for shopping roles keep coming back to Machine learning, Python, LLMs, Java. Practise those questions before you sit with Amazon.
Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Tell me about yourself, and why this role is the right next step.
- Tell me about a problem you solved at work that you are proud of.
- Tell me about a time you disagreed with your manager. What happened?
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Practise the Senior Applied Science Manager, Alexa for Shopping (Rufus) at Amazon 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
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Listed on amazon · posted 2026-09-01. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.