Senior Applied Scientist, Amazon Brand Stores

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers enhance the shopping experience and strengthen the marketplace. If youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.

As for Brand Stores (e.g. and 1MM more) we are the exclusive destination for brand owners to showcase their content and product catalog through custom creative seamlessly integrated with Amazon Stores and ads products attracting millions of daily visits.

Were reinventing how brands and shoppers connect. Using generative AI were building the next generation of brand-centric storefronts reimagining store creation optimization performance analysis and customer insights through state-of-the-art GenAI technologies.

As a Senior Applied Scientist on the team youll own the science strategy and hands-on development of AI-powered brand experiences at Amazon scale. Youll 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.

#GenAI

Key job responsibilities
If youre energized by solving complex challenges and pushing the boundaries of whats possible with AI this is the role.
* 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.

About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers enhance the shopping experience and strengthen the marketplace. If youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.

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.

- 3 years of building machine learning models for business application experience
- PhD or Masters 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.

- 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)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NY New York - 183800.00 - 248700.00 USD annually
USA WA SEATTLE - 167100.00 - 226100.00 USD annually