Principal Applied Scientist , Personalized Autonomy and Proactive Intelligence (PAPI)
Amazon.com Services LLC
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3 open personalized roles across 2 companies are on ApplySarthi right now.
What personalized roles keep asking for: Confluence (67%), Jira (67%), Deep learning (33%), Generative AI (33%), Machine learning (33%), NLP (33%), REST APIs (33%), SaaS (33%) — counted across their open postings here.
Applied Scientist jobs in the United States · Remote Applied Scientist jobs · Deep learning jobs · Generative AI jobs · Machine learning jobs · NLP jobs
Amazon.com Services LLC has 4,337 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
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- Tell me about a problem you solved at work that you are proud of.
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Practise the Principal Applied Scientist , Personalized Autonomy and Proactive Intelligence (PAPI) at Amazon.com Services LLC interview free →The Principal Applied Scientist will own the science mission for building next-generation proactive and autonomous agentic experiences across Alexa AI's Personalization, Autonomy and Proactive Intelligence Basic qualifications: - M.S. in Computer Science, Machine Learning, or a related field. - 10+ years experience in natural language processing, machine learning, recommendation, search, multimodal AI, or a related field. - Proven track record of leading and managing science and engineering teams in building complex, real-time systems involving AI, ML, NLP with successful delivery to customers. - Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch, customer validation and scaling. - Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead combined science and engineering efforts to meet timelines with optimal solutions. Preferred: Preferred qualifications - Ph.D. in Computer Science, Machine Learning, or a related field. - 10+ years experience in recommendations, search, natural language processing, machine learning, deep learning, Generative AI, Agentic AI or a related field. - Demonstrated ability to push the envelope in at least one machine learning domain (e.g. deep learning, NLP, reinforcement learning) - Expertise in large language models or demonstrated ability to develop this expertise quickly. - Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audience. - Expertise in end-consumer AI experiences, ideally with learning/ experiential offerings. - Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science. 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, Bellevue - 198,900.00 - 269,000.00 USD annually
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Listed on amazon · posted 2026-07-09. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon.com Services LLC, not by us.