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Applied Scientist II, Products and Brands

Job in Seattle, King County, Washington, 98127, USA
Listing for: Amazon Jobs
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Applied Scientist II, Sponsored Products and Brands

The Sponsored Products and Brands team at Amazon Ads is re‑imagining the advertising landscape through industry‑leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across  and beyond.

We are at the forefront of re‑inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace.

If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

The Demand Utilization team with Sponsored Products and Brands owns finding the appropriate ads to surface to customers when they search for products on Amazon. We strive to understand our customers’ intent and identify relevant ads which enable them to discover new and alternate products. This also enables sellers on Amazon to showcase their products to customers, which may at times be buried deeper in the search results.

Our systems and algorithms operate on one of the world’s largest product catalogs, matching shoppers with products with a high relevance bar and strict latency constraints. We are a team of machine learning scientists and software engineers working on complex solutions to understand the customer intent and present them with ads that are not only relevant to their actual shopping experience, but also non‑obtrusive.

This area is of strategic importance to Amazon Retail and Marketplace business, driving long‑term growth.

We are looking for an Applied Scientist II, with a strong background in Machine Learning and Generative AI to optimize serving ads on billions of product pages. The solutions you create would drive step increases in coverage of sponsored ads across the retail website and ensure relevant ads are served to Amazon's customers. You will directly impact our customers' shopping experience while helping our sellers get the maximum ROI from advertising on Amazon.

You will be expected to demonstrate strong ownership and should be curious to learn and leverage the rich textual, image, and other contextual signals. This role will challenge you to utilize innovative machine learning techniques in the domain of predictive modeling, natural language processing (NLP), deep learning, reinforcement learning, query understanding, vector search, image recognition, and multi‑modal AI to deliver significant impact for the business.

In addition, you will be at the forefront of leveraging Generative AI (GenAI) technologies, including Large Language Models (LLMs) and foundation models, to drive advanced language understanding, creative ad content generation, and retrieval‑augmented generation (RAG). You will also design and build agentic AI systems capable of autonomous, multi‑step reasoning, tool use, and chain‑of‑thought decision‑making, while applying techniques such as prompt engineering, fine‑tuning, RLHF (Reinforcement Learning from Human Feedback), and embedding‑based retrieval to develop scalable, production‑grade solutions.

Ideal candidates will have hands‑on experience fine‑tuning, evaluating, and deploying LLMs at scale, along with a strong understanding of emerging GenAI paradigms including agentic workflows and responsible AI practices. You should be able to work cross‑functionally across multiple stakeholders, synthesize the science needs of our business partners, develop models to solve business needs, and implement solutions in production. In addition to being a strongly motivated IC, you will also be responsible for mentoring junior scientists, guiding them to deliver high‑impact products and services for Amazon customers and sellers, and fostering a culture of innovation around the latest advancements in Generative AI and LLM technologies.

Why

you will love this opportunity

Amazon is investing heavily in building a…

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