principal machine learning Applied Scientist tech_leadership · Posted Apr 23, 2026
$228,700 – $309,400
USD per year

About this role

Amazon is hiring a principal-level Applied Scientist in the machine learning function based in New York City, NY. The posting calls out experience with Python, LLMs, Deep Learning, Data Structures. Compensation is listed at $228,700–$309,400 per year.

Role
Applied Scientist
Function
machine learning
Level
principal
Track
Tech leadership
Employment
Full-time
Location
New York City, NY
Department
Applied Science
Posted
Apr 23, 2026

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Job description

from Amazon careers

About the Role In this role, you will own the science strategy and technical vision for this intelligence layer, leading a team of applied scientists working across GenAI and predictive modeling. You will shape how heterogeneous signals — text, behavioral, network, temporal — come together to power talent applications at Amazon scale, from workforce forecasting to personalized development to compensation strategy. You will identify opportunities where science investment can have material impact on long-term objectives or annual goals and build consensus around needed investments, working comfortably across different modeling paradigms and data modalities to guide principal and senior scientists in their most challenging and strategic decisions while serving as the strategic science advisor to PXT leaders operating at the Director, VP, and SVP levels. As a hands-on leader, you will personally own development and delivery of the most complex science problems at the intersection of multiple ML disciplines, stay current with emergent AI/ML science and engineering trends to influence focus areas in a rapidly evolving landscape, and participate in organizational planning, hiring, mentorship, and leadership development. Key job responsibilities • Lead technical initiatives in people science models, driving breakthrough approaches through hands-on research and development in areas like foundation models…

This is an excerpt. Read the full job description on Amazon careers →
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