Senior Manager, Applied Science, Network Planning Solutions

Amazon; Seattle (WA); On-site; USD 219,000 - 296,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Sr. Manager, Applied Science within Network Planning Solutions in Seattle to own scientific innovation and research initiatives.

You will lead a team of applied scientists, collaborating with cross-functional partners to deploy breakthrough AI/ML solutions that redefine our global network. You will design and validate next-generation AI-native models, ensuring explainability and seamless integration with existing systems, while transforming research into production-ready

Qualifications

• 10+ years building large-scale ML/AI solutions at Internet scale.
• Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent).
• Experience building large-scale ML/AI solutions at Internet scale.
• Experience distilling informal customer requirements into well-defined problems.
• Experience hiring and leading scientists and mentoring junior members.

Responsibilities

• Develop and deploy production-ready demand forecasting algorithms using real-time signals.
• Build network optimization algorithms that adjust staffing as conditions evolve.
• Architect scalable AI/ML infrastructure for forecasting and optimization across the system.
• Lead and mentor a team of applied scientists to deliver breakthroughs.
• Design experiments to validate hypotheses and quantify business impact.
• Partner with Engineering, Product, and Operations to translate AI/ML into measurable outcomes.

Skills

Large-scale ML

Leadership

ML deployment

Mentoring

Requirements distillation

Education

Masters in CS (ML/AI/Statistics)

PhD in CS (ML/AI)

Job description

About The Job

Have you ever wondered what it takes to transform millions of manual network planning decisions into AI-powered precision? Network Planning Solutions is looking for scientific innovators obsessed with building the AI/ML intelligence that makes orchestrating complex global operations feel effortless. Here, you'll do more than just build models; you'll create 'delight' by discovering and deploying the science that delivers exactly what our customers need, right when they need it. If you're ready to transform complex data patterns into breakthrough AI capabilities that power intuitive human experiences, you've found your team. Network Planning Solutions architects and orchestrates Amazon's customer service network of the future. By building AI-native solutions that continuously learn, predict and optimize, we deliver seamless customer experiences and empower associates with high-value work—driving measurable business impact at a global scale. As a Sr. Manager, Applied Science, you will own the scientific innovation and research initiatives that make this vision possible. You will lead a team of applied scientists and collaborate with cross-functional partners to develop and implement breakthrough scientific solutions that redefine our global network.

Key job 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

Drive Scientific Excellence

• 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

Enable Strategic Transformation

• 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

A day in the life

Your day will be a dynamic blend of scientific innovation and strategic problem-solving. You'll collaborate with cross-functional teams, design AI algorithms, and translate complex data patterns into intuitive solutions that drive meaningful business impact.

About The Team

We are Network Planning Solutions, a team of scientific innovators dedicated to reshaping how global service networks operate. Our mission is to create AI-native solutions that continuously learn, predict, and optimize customer experiences. We empower our associates to tackle high-value challenges and drive transformative change at a global scale.

Basic Qualifications

• 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 Qualifications

• 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

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.

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, Seattle - 218,800.00 - 295,900.00 USD annually

Company - Amazon.com Services LLC

Job ID: A3179198