Amazon · 12 hours ago
Senior Applied Science Manager, Applied AI
Bellevue, WA
Full-time
Onsite
Senior Level, Lead/Staff
$197K/yr - $340K/yr
10+ years expAmazon is seeking a passionate and talented individual to join their Applied AI team as a Senior Applied Science Manager. This role involves leading a cross-functional team to develop innovative AI technologies, impacting customer experiences and driving revenue growth through advanced machine learning techniques.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Lead a cross functional team of scientists and engineer
Developing and maintaining the systems and tools that enable us to accelerate knowledge operations
Work in the intersection of Science and Engineering
Push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business
Collaborating with our research teams
Innovates, and loves solving hard problems
Have an established background in leading teams that build highly scalable systems and system design
Have excellent project management skills
Great communication skills
Motivation to achieve results in a fast-paced environment
Enjoy working on complex problems
Customer-centric
Strongly about building good software as well as making that software achieve its operational goals
Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence
Directly impact our customers in the form of novel products and services
Qualification
Required
10+ years of building large-scale machine learning and AI solutions at Internet scale 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
Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track
Preferred
10+ years of practical work applying ML to solve complex problems for large-scale applications experience
5+ years of hands-on work in big data, machine learning and predictive modeling experience
5+ years of people 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 with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc
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