Amazon · 1 day ago
Senior Manager, Applied Science, Network Planning Solutions
Seattle, WA
Full-time
Onsite
Senior Level, Lead/Staff, Director/Executive
$219K/yr - $296K/yr
10+ years expAmazon is seeking a Senior Manager in Applied Science for their Network Planning Solutions team, focused on transforming network planning decisions through AI and machine learning. The role involves leading a team to develop innovative AI solutions that optimize customer service networks and enhance operational efficiency.
RetailArtificial Intelligence (AI)E-CommerceLogisticsDeliveryFoundational AI
Responsibilities
Develop and deploy production-ready demand forecasting algorithms that continuously sense and predict customer demand using real-time signals
Build network optimization algorithms that automatically adjust staffing as conditions evolve across the service network
Architect scalable AI/ML infrastructure supporting automated forecasting and network optimization capabilities across the system
Build and mentor a team of applied scientists to deliver breakthrough AI/ML solutions
Design rigorous experiments to validate hypotheses and quantify business impact
Establish scientific excellence mechanisms including evaluation metrics and peer review processes
Drive scientific innovation from research to production - Design and validate next-generation AI-native models while ensuring robust performance, explainability, and seamless integration with existing systems
Partner with Engineering, Product, and Operations teams to translate AI/ML capabilities into measurable business outcomes
Navigate ambiguity through experimentation while balancing innovation with operational constraints
Influence senior leadership through scientific rigor, translating complex algorithms into clear business value
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 developing, deploying and managing AI products at scale
Experience building complex highly-scalable systems that involve predictive models or applications of machine learning
Benefits
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
Parental leave
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
2026-02-12
2026-02-12
Company data provided by crunchbase