Amazon.com Services LLC, New York, New York
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The Off-Search Online Sourcing team builds the real-time ad retrieval systems behind every Detail Page, Home Page, and non-Search surface on Amazon — searching hundreds of millions of ads in milliseconds using embedding models and approximate nearest neighbor indexes. You'll design and deliver the low-latency services, model serving infrastructure, and distributed indexing pipelines that determine which ads shoppers see, enriched with delivery speed, locality, and return signals so ads surface products that can reach customers quickly.
This is a team that ships fast – rapidly experimenting with new models, indexes, and signals in production through A/B experiments to grow both advertiser results and shopper engagement. You'll partner closely with applied scientists to bring new retrieval models from research into production, and use experimental results to decide what ships.
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 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.
The Off-Search Online Sourcing team within SPB builds the real-time systems that choose which ads shoppers see on the Detail Page, Home Page, and other Amazon pages — searching hundreds of millions of ads in milliseconds using embedding models and approximate nearest neighbor indexes, and enriching every candidate with delivery speed, locality, and return signals so shoppers see ads for products that can reach them quickly.
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.
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 https://amazon.jobs/en/benefits.
USA, NY, New York – 158,100.00 - 213,800.00 USD annually
A day in the life
On a typical day you might start by reviewing latency dashboards for your retrieval services, then dive into building a new distributed pipeline to refresh a nearest neighbor index. After lunch, you could be partnering with an applied scientist to integrate a new embedding model into the serving path, setting up the A/B experiment framework to measure its impact. Between coding sessions, you'll review pull requests, debug a latency regression, and check on the results of a running experiment to decide whether a new signal improves shopper engagement enough to ship.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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