Applied Science Manager, Alexa for Shopping (Rufus)
Amazon.com Services LLC
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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).
- Activation Bonus PM, Capital One Shopping (Remote-Eligible)Capitalone
- Software Development Engineer, Alexa for ShoppingADCI - Karnataka · bengaluru
- Software Development Engineer, General Shopping IntelligenceAmazon Development Center U.S., Inc.
- Technical Program Manager II, Shopping PlatformsPinterest
- Vice President-Marketing Strategy Lead, Shopping Innovation & AI StrategyJPMorgan
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 · Computer vision jobs · Deep learning jobs · LLMs jobs · Machine learning jobs
Amazon.com Services LLC has 4,316 open roles listed here.
- Delivery Station Customer Service Associate
- Delivery Station Customer Service Associate, DSL
- Senior Business Intelligence Engineer, North America Supply Chain Execution Strategy
- Mechatronics & Robotics Tech
- Automation Engineer Manager
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
- Why do you want to join Amazon.com Services LLC?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- 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?
- Where do you want to be in three years?
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Practise the 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: - 2+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 5+ years of building machine learning models or developing algorithms for business application experience - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers - Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs - Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Preferred: - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - 4+ years of scientists or machine learning engineers management experience - 7+ years of building machine learning models or developing algorithms for business application experience - 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 - 211,400.00 - 286,000.00 USD annually
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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.