Senior Applied Scientist (GenAI, LLMs)

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.