TL;DR

Senior Applied Scientist (GenAI, LLMs): Redesigning how ads create personalized shopping experiences using GenAI, deep learning, multi-objective optimization, and reinforcement learning with an accent on ad retrieval, auctions, and whole-page relevance. Focus on applying frontier AI to real-world problems with massive scale and impact in advertising science.

Location: Remote within several US geographic markets

Salary: $150,400–$260,000/year

Company

Amazon Ads is transforming advertising through generative AI technologies to help millions of customers discover products and engage with brands.

What you will do

Design and develop solutions using GenAI, deep learning, multi-objective optimization, and/or reinforcement learning to transform ad experiences.
Partner with scientists, engineers, and product managers to build scalable, production-ready science solutions.
Apply industry advances in GenAI and Large Language Models (LLMs) to create innovative prototypes and concepts.
Improve scientific and technical capabilities by implementing algorithms, methodologies, and infrastructure.
Mentor junior scientists and engineers to build a high-performing, collaborative team.

Requirements

PhD, or Master's degree and 6+ years of applied research experience.
3+ years of experience building machine learning models for business applications.
Experience programming in Java, C++, Python or related language.
Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.

Nice to have

Demonstrated expertise in Generative AI technologies, including foundation models, LLMs, and model customization.
Hands-on experience building ads ranking, retrieval, recommendation, or personalization systems at web scale.
Technical proficiency in advanced AI approaches such as multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).
Track record of designing and implementing online experimentation frameworks, including A/B testing methodologies and performance metrics.
Deep knowledge of computational advertising fundamentals, including auction mechanisms, advertising economics, and advertiser success metrics.

Culture & Benefits

Our inclusive culture empowers Amazonians to deliver the best results for our customers.
Opportunity to define the next chapter of advertising science.
Full range of medical, financial, and other benefits.
Equity, sign-on payments, and other forms of compensation may be provided.
Work in close partnership with Amazon Stores stakeholders.