Amazon
Principal Applied Scientist, Sponsored Products and Brands Off-Search
Amazon, Seattle, Washington, us, 98127
Description
The Sponsored Products and Brands (SPB) 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 This Principal Applied Scientist will drive transformative innovation in Sponsored Products and Brands (SPB) auction design across non‑search surfaces, including product detail pages, the home page, and specialty stores. This role will be pivotal in rethinking how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront.
Improving Auction Mechanism:
Reimagine auction mechanisms to holistically optimize business drivers, shopper needs, and ad placement across non‑search pages. Develop new auction functions through offline simulation and online testing that consider ad relevance, ads revenue, and advertiser demand, while remaining sensitive to seasonality and bespoke shopping experiences. Design, prototype, and iterate models that continually improve efficiency and effectiveness of ad inventory allocation to maximize value delivered to shoppers and advertisers.
Advancing Scientific and Technical Capabilities:
Elevate the team's scientific and technical rigor, identify and implement best‑in‑class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. Establish a long‑term vision for continued scientific innovation, set strategic goals to future‑proof technical stacks and ML/LLM frameworks, and mentor junior scientists and engineers to foster a culture of excellence and continuous learning.
Through his/her work, the Principal Applied Scientist will directly impact key business metrics by improving ad relevance and auction efficiency, ultimately contributing to revenue growth, improved customer satisfaction, and differentiated shopper experiences.
About the team The Off‑Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store‑in‑store pages—to drive monetization. Our vision is to deliver highly personalized, context‑aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event‑driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket‑building content, and fast‑delivery options. We work in close partnership with Amazon Stores stakeholders to expand and grow advertising across Amazon‑owned and –operated pages beyond Search. We operate a full stack—from backend ads‑retail edge services, ad retrieval, and ad auctions to shopper‑facing experiences—designed to deliver meaningful value.
Basic Qualifications
5+ years of hands‑on work in predictive modeling and analysis experience
PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field
Experience working in predictive modeling and analysis
Experience programming in Java, C++, Python or related language
Experience leading experienced scientists and having a record of developing junior members from academia or industry to a career track in a business environment
Preferred Qualifications
10+ years of relevant work in industry or academia experience
Knowledge of problem solving, algorithm design and complexity analysis
Experience creating novel algorithms and advancing the state of the art
Have peer‑reviewed scientific contributions in premier journals and conferences
Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully; and following all federal, state, and local laws and Company policies. Criminal history may have an adverse effect on the selection decision for this position. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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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 This Principal Applied Scientist will drive transformative innovation in Sponsored Products and Brands (SPB) auction design across non‑search surfaces, including product detail pages, the home page, and specialty stores. This role will be pivotal in rethinking how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront.
Improving Auction Mechanism:
Reimagine auction mechanisms to holistically optimize business drivers, shopper needs, and ad placement across non‑search pages. Develop new auction functions through offline simulation and online testing that consider ad relevance, ads revenue, and advertiser demand, while remaining sensitive to seasonality and bespoke shopping experiences. Design, prototype, and iterate models that continually improve efficiency and effectiveness of ad inventory allocation to maximize value delivered to shoppers and advertisers.
Advancing Scientific and Technical Capabilities:
Elevate the team's scientific and technical rigor, identify and implement best‑in‑class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. Establish a long‑term vision for continued scientific innovation, set strategic goals to future‑proof technical stacks and ML/LLM frameworks, and mentor junior scientists and engineers to foster a culture of excellence and continuous learning.
Through his/her work, the Principal Applied Scientist will directly impact key business metrics by improving ad relevance and auction efficiency, ultimately contributing to revenue growth, improved customer satisfaction, and differentiated shopper experiences.
About the team The Off‑Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store‑in‑store pages—to drive monetization. Our vision is to deliver highly personalized, context‑aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event‑driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket‑building content, and fast‑delivery options. We work in close partnership with Amazon Stores stakeholders to expand and grow advertising across Amazon‑owned and –operated pages beyond Search. We operate a full stack—from backend ads‑retail edge services, ad retrieval, and ad auctions to shopper‑facing experiences—designed to deliver meaningful value.
Basic Qualifications
5+ years of hands‑on work in predictive modeling and analysis experience
PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field
Experience working in predictive modeling and analysis
Experience programming in Java, C++, Python or related language
Experience leading experienced scientists and having a record of developing junior members from academia or industry to a career track in a business environment
Preferred Qualifications
10+ years of relevant work in industry or academia experience
Knowledge of problem solving, algorithm design and complexity analysis
Experience creating novel algorithms and advancing the state of the art
Have peer‑reviewed scientific contributions in premier journals and conferences
Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully; and following all federal, state, and local laws and Company policies. Criminal history may have an adverse effect on the selection decision for this position. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr