Principal Applied Scientist, Amazon Sponsored Products and Brands
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
4 days ago
Vacancies:
1 Vacancy
Job Summary
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative and agentic 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 to transform every aspect of the advertising lifecycle; from ad creation delivery optimization performance management and beyond. We are a passionate group of innovators dedicated to developing state-of-the-art AI technologies that balance the needs of advertisers and enhance the shopping experience. Within SPB the SPB Offsite (SPBO) 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 gen AI technologies to create better sponsored customer experiences off the store.
The Principal Applied Scientist for SPBO leads the technical vision and scientific strategy for extending Amazon Advertisings sponsored experiences to the broader webmeeting shoppers wherever they search browse and discover products. This is a multi-disciplinary scientific space spanning machine learning large-scale optimization causal inference NLP information retrieval and generative AI. You will define and drive the science roadmap for how Amazon connects advertisers with high-intent customers across third-party environments at massive scale and with low latency. As a GenAI-first organization we build foundational and agentic models that power advertiser use cases across Ads while empowering our Applied Scientists to directly build and ship products. You will be a hands-on technical leader who architects novel solutions end-to-endfrom research through productionwhile mentoring a team of scientists across diverse domains.
The problems you will tackle are among the hardest in ad tech. You will develop models that leverage Amazons first-party shopping signals to reach high-value audiences in third-party environments where signal density differs fundamentally from on-Amazon contexts. You will innovate on real-time bidding auction dynamics and ranking models across heterogeneous supply sources with distinct inventory characteristics latency constraints and auction mechanics. You will design ML approaches that maintain effectiveness amid an evolving privacy landscapeturning constraints from cookie deprecation regulation and platform restrictions into innovation opportunities. You will influence attribution models that capture the incremental value of offsite advertising on shopping outcomes bridging measurement gaps between offsite touchpoints and on-Amazon conversions. You will pioneer generative and agentic AI to personalize ad creatives and shopping experiences for offsite contexts and develop scientific frameworks to optimize spend allocation across supply partners and channels.
You will partner with engineering product and business leaders as well as external partners to shape product strategy with scientific insight and drive results at scale. You will represent Amazon Advertisings offsite science externally through patents and industry engagement.
Key job responsibilities
- Driving the scientific vision of the teams in your organization and advising and influencing its technical leadership on ad serving bidding ranking and offsite advertising models and products.
- Identifying tackling and proposing innovative solutions to intrinsically hard previously unsolved problems in offsite ad tech.
- Bringing clarity to complex problems probing assumptions illuminating pitfalls fostering shared understanding and guiding towards effective solutions.
- Serving and being recognized by internal and external peers as a thought leader in offsite advertising science including real-time bidding personalization privacy-preserving ML and generative AI for ad experiences.
- Influencing your teams science and business strategy by driving one or more team roadmaps contributing to the organizations roadmap and taking responsibility for some organizational goals. You drive multiple new product features from inception to production launch.
- Guiding the career development of others actively mentoring and educating the larger applied science community on trends technologies and best practices.
- 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 distilling informal customer requirements into problem definitions dealing with ambiguity and competing objectives
- Experience programming in Java C Python or related language
- Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment
- 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
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 Principal Applied Scientist for SPBO leads the technical vision and scientific strategy for extending Amazon Advertisings sponsored experiences to the broader webmeeting shoppers wherever they search browse and discover products. This is a multi-disciplinary scientific space spanning machine learning large-scale optimization causal inference NLP information retrieval and generative AI. You will define and drive the science roadmap for how Amazon connects advertisers with high-intent customers across third-party environments at massive scale and with low latency. As a GenAI-first organization we build foundational and agentic models that power advertiser use cases across Ads while empowering our Applied Scientists to directly build and ship products. You will be a hands-on technical leader who architects novel solutions end-to-endfrom research through productionwhile mentoring a team of scientists across diverse domains.
The problems you will tackle are among the hardest in ad tech. You will develop models that leverage Amazons first-party shopping signals to reach high-value audiences in third-party environments where signal density differs fundamentally from on-Amazon contexts. You will innovate on real-time bidding auction dynamics and ranking models across heterogeneous supply sources with distinct inventory characteristics latency constraints and auction mechanics. You will design ML approaches that maintain effectiveness amid an evolving privacy landscapeturning constraints from cookie deprecation regulation and platform restrictions into innovation opportunities. You will influence attribution models that capture the incremental value of offsite advertising on shopping outcomes bridging measurement gaps between offsite touchpoints and on-Amazon conversions. You will pioneer generative and agentic AI to personalize ad creatives and shopping experiences for offsite contexts and develop scientific frameworks to optimize spend allocation across supply partners and channels.
You will partner with engineering product and business leaders as well as external partners to shape product strategy with scientific insight and drive results at scale. You will represent Amazon Advertisings offsite science externally through patents and industry engagement.
Key job responsibilities
- Driving the scientific vision of the teams in your organization and advising and influencing its technical leadership on ad serving bidding ranking and offsite advertising models and products.
- Identifying tackling and proposing innovative solutions to intrinsically hard previously unsolved problems in offsite ad tech.
- Bringing clarity to complex problems probing assumptions illuminating pitfalls fostering shared understanding and guiding towards effective solutions.
- Serving and being recognized by internal and external peers as a thought leader in offsite advertising science including real-time bidding personalization privacy-preserving ML and generative AI for ad experiences.
- Influencing your teams science and business strategy by driving one or more team roadmaps contributing to the organizations roadmap and taking responsibility for some organizational goals. You drive multiple new product features from inception to production launch.
- Guiding the career development of others actively mentoring and educating the larger applied science community on trends technologies and best practices.
- 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 distilling informal customer requirements into problem definitions dealing with ambiguity and competing objectives
- Experience programming in Java C Python or related language
- Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment
- 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
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 CA Palo Alto - 228700.00 - 309400.00 USD annually
USA NY New York - 218800.00 - 295900.00 USD annually
USA WA Seattle - 198900.00 - 269000.00 USD annually
Required Experience:
Staff IC
Key Skills
About Company
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