Senior Applied Scientist, Amazon Brand Stores

About the role

The Brand Stores team within Sponsored Products and Brands is chartered to create agentic brand store building experience, automating brand store creation, personalization, and optimization across global marketplaces, serving millions of brand owners world-wide. As a Senior Applied Scientist on the team, you'll own the science strategy and hands-on development of AI-powered brand experiences at Amazon scale. You'll operate at the intersection of frontier research and high-impact production systems, with the autonomy to shape what we build, how we build it, and where we invest next. This role combines science leadership, technical depth, product intuition, and business acumen.

Key job responsibilities

• Build intelligent systems for Brand Stores. Develop AI-powered solutions leveraging generative models to optimize both advertiser and shopper experiences, measurably improving Brand Store performance.
• Define a multi-year science vision and roadmap. Translate customer needs into actionable plans for applied scientists and engineering teams, blending science leadership, technical depth, product intuition, and business acumen.
• Architect ahead of the GenAI curve. Anticipate where generative AI is heading over a multi-year horizon and position solutions to capitalize on compounding advances.
• Experiment rigorously. Design and run A/B experiments grounded in deep data analysis to validate hypotheses and quantify impact.
• Communicate with clarity. Translate complex technical ideas into compelling narratives for both technical and non-technical audiences.

Basic Qualifications

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience in development in the last 3 years, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
• 3+ years in digital advertising technology

Preferred Qualifications

• Experience developing, deploying and managing AI products at scale
• Experience with generative model architectures
• Research publications or patents in generative AI technologies
• Experience in Reinforcement Learning from Human Feedback (RLHF), Retrieval-Augmented Generation (RAG) and AI model trade-offs (e.g., model size, latency, cost, and output quality)

Pay

USA, NY, New York - 183,800.00 - 248,700.00 USD annually
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually