senior software engineering Technical Lead hybrid · Posted Feb 11, 2026
$218,800 – $295,900
USD per year

About this role

Amazon is hiring a senior-level Technical Lead in the software engineering function based in Seattle, WA. The posting calls out experience with Data Structures, Machine Learning, A/B Testing. Compensation is listed at $218,800–$295,900 per year.

Role
Technical Lead
Function
software engineering
Level
senior
Track
hybrid
Employment
Full-time
Location
Seattle, WA
Department
Research Science
Posted
Feb 11, 2026
AI Summary
Sr. Manager, Applied Science leading AI/ML innovation for network planning. Develop demand forecasting and network optimization algorithms, mentor applied scientists, and drive scientific solutions from research to production. Requires deep expertise in machine learning, team leadership, and translating complex algorithms into business impact.

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Job description

from Amazon careers

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 Lead AI/ML Innovation for Network Planning Solutions: - Develop and deploy production-ready demand forecasting algorithms that continuously sense and predict customer…

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