Applied Scientist II: GenAI for Off-Search Ads

Amazon; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs / stock options

401(k) matching

Job summary

Amazon is seeking an Applied Scientist to join the Sponsored Products and Brands (SPB) team, advancing GenAI and LLM‑powered advertising solutions across Amazon surfaces and beyond. You will contribute to ad retrieval, allocation, and personalized experiences, shaping how customers see products and engage with brands.

You will work with engineers, researchers, and product managers to design scalable models, deploy them to production, and translate analytics into measurable impact for advertisers

Qualifications

• PhD or Master’s with 4+ years in CS/CE/ML.
• 3+ years building models for business applications.
• Experience programming in Java, C++, Python.
• Strong foundation in GenAI, LLMs, ML, DL, probabilistic modeling, and optimization.
• Experience deploying models in production environments.

Responsibilities

• Contribute to GenAI, deep learning, optimization powered solutions for ad retrieval/auctions/relevance.
• Collaborate cross‑functionally to deliver scalable, production‑ready science solutions.
• Stay abreast of GenAI/LLMs trends and bring innovative concepts to the team.
• Enhance scientific rigor by implementing best‑in‑class algorithms and infrastructure.
• Mentor and grow junior scientists and engineers in a high‑performing team.

Skills

GenAI/LLMs

Java

C++

Python

Production ML deployment

Communication of complex topics

A/B testing / online experiments

Cross-functional collaboration

Education

PhD, or Master’s degree + 4+ years CS/ML

Job description

Amazon is seeking an Applied Scientist to join the Sponsored Products and Brands (SPB) team, advancing GenAI and LLM‑powered advertising solutions across Amazon surfaces and beyond. You will contribute to ad retrieval, allocation, and personalized experiences, shaping how customers see products and engage with brands.

You will work with engineers, researchers, and product managers to design scalable models, deploy them to production, and translate analytics into measurable impact for advertisers