Applied Scientist (AI)

TL;DR

Applied Scientist (AI): Redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience by designing and developing GenAI, deep learning, multi-objective optimization, and/or reinforcement learning empowered solutions. With an accent on ad retrieval, auctions, whole-page relevance, and bespoke shopping experiences. Focus on building novel generative models grounded in Amazon’s rich data and the world’s collective knowledge, and defining the next chapter of advertising science by applying frontier AI to real-world problems with massive scale and impact.

Location: Must be based in the US geographic markets

Salary: $136,000–$223,400/year

Company

Amazon Ads is re-imagining the advertising landscape through state-of-the-art generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond.

What you will do

• Contribute to the design and development of GenAI, deep learning, multi-objective optimization, and/or reinforcement learning empowered solutions for ad retrieval, auctions, and shopping experiences.
• Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.
• Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts and prototypes to the organization.
• Contribute to the enhancement of the team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure.
• Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.

Requirements

• PhD, or Master's degree and 4+ years of CS, CE, ML, or related field experience.
• 3+ years of experience building models for business applications.
• Experience programming in Java, C++, or Python.
• Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.
• Experience developing and deploying models in real-world production environments.

Nice to have

• Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.
• Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.
• Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).
• Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce.
• Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics.

Culture & Benefits

• Inclusive culture empowers Amazonians to deliver the best results for customers.
• Compensation includes equity, sign-on payments, and a full range of medical, financial, and/or other benefits.
• Opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through GenAI.
• Focus on balancing the needs of advertisers, enhancing the shopping experience, and strengthening the marketplace.
• Work within the Sponsored Products and Brands (SPB) team, re-imagining advertising through state-of-the-art generative AI.