Applied Scientist II, Sponsored Products Marketplace Intelligence (Advertising)
Amazon, Seattle, WA, United States
Job ID: 3206128 | Amazon.com Services LLC
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. 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.
We are the Sponsored Products – Marketplace Intelligence (MI) team. We are looking for an Applied Scientist to help build production ML and bandit solutions to customize the search experience. We determine which ads to show in Amazon search, where to place them, how many ads to place, and to which customers. This helps shoppers discover new products while helping advertisers put their products in front of the right customers, aligning shoppers’, advertisers’, and Amazon’s interests. We apply a broad range of machine learning, causal inference, and optimization techniques to continuously explore, learn, and optimize the allocation and ranking of ads on the search page.
You will be on the Search Ad Ranking and Interleaving team org – specifically the team that focuses on whole page optimization. Our mission is to personalize and contextualize SP ad allocation on the entire search page. We model shopper responses to the number, placement, and quality of ads. We are a data‑ and hypothesis‑driven organization that uses online experimentation, simulation, causal modeling, and online feedback to place ads where they’re useful to shoppers and provide improved discoverability and sales for advertisers.
We are looking for an Applied Scientist to join the Interleaving team in Marketplace Intelligence with a broad mandate to experiment and innovate to grow Sponsored Products. We’d like someone with practical experience with LLMs / GenAI for production to improve how we rank and allocate ads on the page today. If you thrive in a product‑focused and data‑driven environment, then this role is for you. As an Applied Scientist on this team, you will help identify unique opportunities to create a customized and delightful shopping experience for our growing marketplaces worldwide. Your job will be to identify big opportunities that can help grow Sponsored Products business, working with retail partner teams, product managers, software engineers, and TPMs. You will design, run, and analyze experiments to improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact. More importantly, you will broaden your technical skills in an environment that thrives on creativity, experimentation, and product innovation.
Key Responsibilities
Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon.
Develop real‑time machine learning algorithms to allocate billions of ads per day in advertising auctions.
Develop efficient algorithms for multi‑objective optimization and AI control methods to find operating points for the ad marketplace and evolve them.
Be an expert at designing and implementing solutions that use a range of data science methodologies to automate data analysis or solve complex business problems.
Perform hands‑on analysis and modeling of enormous data sets to develop insights that improve shopper experience without compromising ad revenue, and design metrics for complex systems.
Drive end‑to‑end machine learning projects that have a high degree of ambiguity, scale, and complexity.
Run A/B experiments, gather data, and perform statistical analysis.
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.
The base salary range for this position is $142,800.00 – $193,200.00 USD annually. 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 .
Posted:
February 23, 2026 (Updated about 4 hours ago)
#J-18808-Ljbffr
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. 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.
We are the Sponsored Products – Marketplace Intelligence (MI) team. We are looking for an Applied Scientist to help build production ML and bandit solutions to customize the search experience. We determine which ads to show in Amazon search, where to place them, how many ads to place, and to which customers. This helps shoppers discover new products while helping advertisers put their products in front of the right customers, aligning shoppers’, advertisers’, and Amazon’s interests. We apply a broad range of machine learning, causal inference, and optimization techniques to continuously explore, learn, and optimize the allocation and ranking of ads on the search page.
You will be on the Search Ad Ranking and Interleaving team org – specifically the team that focuses on whole page optimization. Our mission is to personalize and contextualize SP ad allocation on the entire search page. We model shopper responses to the number, placement, and quality of ads. We are a data‑ and hypothesis‑driven organization that uses online experimentation, simulation, causal modeling, and online feedback to place ads where they’re useful to shoppers and provide improved discoverability and sales for advertisers.
We are looking for an Applied Scientist to join the Interleaving team in Marketplace Intelligence with a broad mandate to experiment and innovate to grow Sponsored Products. We’d like someone with practical experience with LLMs / GenAI for production to improve how we rank and allocate ads on the page today. If you thrive in a product‑focused and data‑driven environment, then this role is for you. As an Applied Scientist on this team, you will help identify unique opportunities to create a customized and delightful shopping experience for our growing marketplaces worldwide. Your job will be to identify big opportunities that can help grow Sponsored Products business, working with retail partner teams, product managers, software engineers, and TPMs. You will design, run, and analyze experiments to improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact. More importantly, you will broaden your technical skills in an environment that thrives on creativity, experimentation, and product innovation.
Key Responsibilities
Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon.
Develop real‑time machine learning algorithms to allocate billions of ads per day in advertising auctions.
Develop efficient algorithms for multi‑objective optimization and AI control methods to find operating points for the ad marketplace and evolve them.
Be an expert at designing and implementing solutions that use a range of data science methodologies to automate data analysis or solve complex business problems.
Perform hands‑on analysis and modeling of enormous data sets to develop insights that improve shopper experience without compromising ad revenue, and design metrics for complex systems.
Drive end‑to‑end machine learning projects that have a high degree of ambiguity, scale, and complexity.
Run A/B experiments, gather data, and perform statistical analysis.
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.
The base salary range for this position is $142,800.00 – $193,200.00 USD annually. 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 .
Posted:
February 23, 2026 (Updated about 4 hours ago)
#J-18808-Ljbffr