senior machine learning Applied Scientist hybrid · Posted Feb 12, 2026
$251,600 – $340,300
USD per year

About this role

Amazon is hiring a senior-level Applied Scientist in the machine learning function based in Palo Alto, CA. The posting calls out experience with Python, Java, Scala, TensorFlow. Compensation is listed at $251,600–$340,300 per year.

Role
Applied Scientist
Function
machine learning
Level
senior
Track
hybrid
Employment
Full-time
Location
Palo Alto, CA
Department
Applied Science
Posted
Feb 12, 2026
AI Summary
Lead applied science initiatives for Amazon's agentic AI advertising solutions. Build and guide a team of scientists and ML engineers to develop intelligent agents for campaign creation, optimization, and personalized strategies. Requires deep expertise in LLMs, autonomous reasoning, planning systems, and evaluation frameworks.

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Job description

from Amazon careers

Sponsored Products and Brands (SPB) is at the heart of Amazon Advertising, helping millions of advertisers—from small businesses to global brands—connect with customers at the moments that matter most. Our advertising solutions enable sellers, vendors, and brand owners to grow their businesses by reaching shoppers with relevant, engaging ads across Amazon's store and beyond. We're obsessed with delivering measurable results for advertisers while creating a delightful shopping experience for customers. Are you interested in defining the science behind the future of advertising? Sponsored Products and Brands science teams are pioneering breakthrough agentic AI systems—pushing the boundaries of large language models, autonomous reasoning, planning, and decision-making to build intelligent agents that fundamentally transform how advertisers succeed on Amazon. As an SPB applied science leader, you'll have end-to-end ownership of the product and scientific vision, research agenda, model architectures, and evaluation frameworks required to deliver state-of-the-art agentic AI solutions for our advertising customers. You'll get to work on problems that are fast-paced, scientifically rich, and deeply consequential. You'll also be able to explore novel research directions, take bold bets, and collaborate with remarkable scientists, engineers, and product leaders. We'll look for you to bring your diverse perspectives, deep technical expertise, and scientific…

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