Senior Applied Science Lead, AI for Global Network Planning

Amazon

Seattle (WA)

On-site

USD 219,000 - 296,000

Full time

5 days ago
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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

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

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