Senior Manager, Applied AI for Network Planning

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

Benefits offered by this job

Health insurance

RSUs

Paid time off

Parental leave

Job summary

Amazon seeks a Senior Manager, Applied Science, Network Planning Solutions to lead AI/ML innovation for forecasting demand and optimizing staffing across the service network. You will mentor scientists and translate research into measurable business outcomes.

You will collaborate with Engineering, Product, and Operations to deploy scalable AI-native models, drive experiments, and influence senior leadership with rigorous results. This role is based in Seattle, WA.

Qualifications

• 10+ years of building large-scale machine learning and 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 problem definitions, dealing with ambiguity and competing objectives.
• Experience hiring and leading experienced scientists and developing junior members.

Responsibilities

• Lead AI/ML Innovation for Network Planning Solutions and deploy production-ready forecasting algorithms.
• Build network optimization algorithms to adjust staffing as conditions evolve.
• Architect scalable AI/ML infrastructure supporting forecasting and optimization.
• Mentor a team of applied scientists and establish rigorous evaluation metrics.

Skills

Machine learning

AI solutions

Leadership

People management

Problem solving

Education

Master's degree in Computer Science

PhD in Computer Science

Job description

Amazon seeks a Senior Manager, Applied Science, Network Planning Solutions to lead AI/ML innovation for forecasting demand and optimizing staffing across the service network. You will mentor scientists and translate research into measurable business outcomes.

You will collaborate with Engineering, Product, and Operations to deploy scalable AI-native models, drive experiments, and influence senior leadership with rigorous results. This role is based in Seattle, WA.