Applied Scientist, Products

Description

About Sponsored Products and Brands

The Sponsored Products and Brands team at Amazon Ads is re‑imagining the advertising landscape through 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.

The SPB Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third‑party sites where shoppers search and discover products. We use industry‑leading machine learning, high‑scale low‑latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go.

You will work with external and internal partners to connect ad‑tech systems, understand customers, and drive results at scale.

• Drive end‑to‑end Machine Learning projects that have a high degree of ambiguity, scale, and complexity.
• Perform hands‑on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.
• Build machine learning models, perform proof‑of‑concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in product ionizing your ML models.
• Run A/B experiments, gather data, and perform statistical analysis.
• Establish scalable, efficient, automated processes for large‑scale data analysis, machine‑learning model development, model validation and serving.
• Research new and innovative machine learning approaches.

• 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

• Experience in professional software development
• Experience in search advertising, search marketing, performance advertising, or similar digital advertising
• Strong technical fluency in Generative AI
• Deep understanding of large language models (LLMs), model fine‑tuning and prompt engineering
• Ph.D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field

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 (Use the "Apply for this Job" box below). 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 .

USA, NY, New York -  -  USD annually

USA, VA, Arlington -  -  USD annually

USA, WA, SEATTLE -  -  USD annually

Company -  Services LLC

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