Applied Scientist II, Sponsored Products Bidding

Amazon Advertising is one of Amazons fastest growing and most profitable businesses. As a core product offering within our advertising portfolio Sponsored Products (SP) helps merchants retail vendors and brand owners succeed via native advertising which grows incremental sales of their products sold through Amazon. The SP teams primary goals are to help shoppers discover new products they love be the most efficient way for advertisers to meet their business objectives and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

Within Sponsored Products the Bidding team is responsible for defining and delivering a collection of advertising products around bid controls (dynamic bidding bid recommendations etc.) that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazons Retail and Marketplace businesses. We deliver billions of ad impressions millions of clicks daily and break fresh ground to create world-class products. We are highly motivated collaborative and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.

You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business driven fundamentally from our customers needs translating that direction into specific plans for research and applied scientists as well as engineering and product teams. This role combines science leadership organizational ability technical strength product focus and business understanding.

Key job responsibilities
Lead a new initiative across Sponsored Products Bidding focused on AI/ML based features.
Be the technical leader in AI Machine Learning; lead efforts within this team and across other teams.
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.
Drive end-to-end AI/Machine Learning projects that have a high degree of ambiguity scale complexity.
Build models perform proof-of-concept experiment optimize and deploy your models into production; work closely with software engineers to assist in productionizing your AI/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 AI/ machine learning approaches.

A day in the life
Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazons Retail and Marketplace businesses. We deliver billions of ad impressions millions of clicks daily and break fresh ground to create world-class products. We are a highly motivated collaborative and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.

Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business driven from our customers needs translating that direction into specific plans for research and applied scientists as well as engineering and product teams. This role combines science leadership organizational ability technical strength product focus and business understanding.

About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest 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. If youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.
The SPB Bidding team within Sponsored Products and Brands is focused on guiding and supporting Millions of advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale the complexity of diverse advertiser goals campaign types and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in bidding systems can have outsized impact on advertiser success and Amazons retail ecosystem.
Our vision is to build a highly personalized context-aware bidding system that leverages auction simulations ML models and optimization algorithms. This framework will operate across SPB bidding system and proactively delivering value based on deep understanding of the advertiser. To execute this vision we collaborate closely with stakeholders across Ad Console Sales and Marketing to identify opportunitiesfrom high-level product guidance down to granular recommendationsand deliver them through a tailored personalized experience. Our work is grounded in state-of-the-art bidding agent architectures tool integration reasoning frameworks and model customization approaches (including tuning and preference optimization) ensuring our systems are both scalable and adaptive.

- PhD or Masters degree and 4 years of CS CE ML or related field experience
- 3 years of building models for business application experience
- Experience programming in Java C Python or related language
- Experience in designing experiments and statistical analysis of results

- Experience in professional software development
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

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 NY New York - 172400.00 - 223400.00 USD annually
USA WA SEATTLE - 142800.00 - 193200.00 USD annually

Required Experience:

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