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About Sponsored Products and Brands
The Sponsored Products and Brands team at 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. 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 you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

Key job responsibilities
As an Applied Scientist in the team, you will:
(1) Seek to understand in depth the Sponsored Products offering at Amazon and identify areas of opportunities to grow our business using AI solutions.
(2) Design and lead AI roadmaps and solutions aimed at helping our Amazon shoppers have a delightful shopping experience while creating long term value for our sellers.
(3) Work with our engineering partners and draw upon your experience to meet latency and other system constraints.
(4) Identify untapped, high-risk technical and scientific directions, and devise new research directions that you will drive to completion and deliver.
(5) Be responsible for communicating our AI innovations to the broader internal & external scientific community.

About the team
The Search Relevance team within Sponsored Products and Brands develops advanced AI solutions to tackle the most difficult challenges that hinder the search experience on Amazon. To accomplish this, we invest in large language models (LLM), multi-modal Generative AI models, and other related DL methods.

We are looking for a passionate Applied Scientist talented in the fields of Artificial Intelligence (AI), Natural Language Processing (NLP), and Information Retrieval, to invent and build scalable solutions for improving sponsored products experience in the context of Amazon Search.

A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on experiences in building end-to-end Generative AI solutions (mainly with LLMs and multi-modal foundation models), enjoy operating in dynamic environments, be self-motivated to take on challenging high-ambiguity problems to deliver big customer impact.

Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we’re helping businesses grow on Amazon.com and beyond!

BASIC QUALIFICATIONS

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

• Experience using Unix/Linux

• Experience in professional software development

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.