Amazon · 5 hours ago
Senior Applied Science Manager, Personalized Autonomy and Proactive Intelligence (PAPI)
Bellevue, WA
Full-time
Onsite
Senior Level, Lead/Staff, Director/Executive
$197K/yr - $340K/yr
10+ years expAmazon is a leading technology company that is seeking a Senior Applied Science Manager for its Personalized Autonomy and Proactive Intelligence (PAPI) team. In this role, you will lead a team of applied scientists to develop innovative AI solutions that enhance personalization and autonomy in Alexa experiences, driving research initiatives and collaborating with engineering teams to launch AI models into production.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Lead complex research and development projects
Partner closely with the T&C Product and Engineering leaders on the technical strategy and roadmap
Evaluate emerging technologies and methodologies
Make high-level architectural decisions
Lead, mentor and develop technical talent
Set team goals and performance metrics
Manage resource allocation and project prioritization
Drive innovation in applied science areas
Translate research into practical business solutions
Author technical papers and patents
Collaborate with academic and industry partners
Qualification
Required
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
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
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-13
2026-01-13
Business Standard India
2026-01-13
Company data provided by crunchbase