Applied Scientist III, Sponsored Products and Brands Advertiser Growth Cross-border Seller Experience (CBSX)

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. If youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.

We are looking for a Senior Applied Scientist to build the science that helps Amazons advertisers grow with a focus on Cross Border Sellers who face distinct barriers as they scale across multiple marketplaces and this role is about understanding those pain points deeply and removing them: building intelligent autonomous solutions that simplify advertising act efficiently on the advertisers behalf and let advertisers accelerate their growth and success.

We expect a Senior Scientist to think innovatively about how to reduce the effort and complexity of advertising for these advertisers. Working backwards from their needs spanning hands-off sellers and global brands with cross-marketplace operations you will take the lead on medium-to-large ambiguous problems where neither the problem nor the solution is well defined invent new methods validate them through rigorous experimentation and deliver customer-facing products with measurable business impact. This role combines science depth product focus and hands-on engineering: you will raise the science bar build consensus on approach across product and engineering partners and mentor scientists and engineers while remaining deeply hands-on with the hardest technical problems.

Key job responsibilities
As a Senior Applied Scientist on this team you will:

- Understand the pain points of Cross border advertisers as they scale across marketplaces and build science-driven solutions that remove barriers and accelerate their growth and success.
- Build agentic and ML systems that autonomously create structure and manage ad campaigns on advertisers behalf encoding auction and marketplace dynamics (bidding budget pacing targeting decisions) while balancing advertiser ROI shopper experience and marketplace health.
- Innovate on new simpler ways to advertise powered by GenAI and push the frontier of existing autonomous programs (e.g. auto-targeting global lift-and-shift) while proposing and prototyping the next generation of campaign automation.
- Develop models across the campaign lifecycle opportunity discovery ranking ad-readiness and demand prediction and bid/budget optimization and apply the right approach for each problem from classical ML to LLM/reasoning methods.
- Define and curate the datasets and signals needed to train and evaluate these systems advertiser and campaign data cross-marketplace performance auction and bid/budget signals impressions clicks conversions and search-term/keyword performance.
- Own core parts of the agentic architecture planning tool use and integration (e.g. MCP) reasoning frameworks (e.g. ReAct CoT/ToT) and model customization and define evaluation and safety methodology so that automated decisions are reliable and trustworthy.
- Stay deeply hands-on: write production-quality critical-path code and build core components that take systems from prototype to launch on large-scale pipelines (Spark/EMR Airflow) and online serving.
- Raise the science bar: mentor scientists and engineers review designs and experiment plans and communicate results and tradeoffs clearly to technical and business leaders.


About the team

Autonomous SP drives growth and simplifies advertising for Amazons hands-off advertisers by creating and enhancing autonomous campaign solutions. We lead existing successful programs including auto-targeting and global lift-and-shift and continually innovate by building new simpler campaign constructs powered by GenAI to act efficiently on advertisers behalf.

Cross-border Seller Experience (CBSX) focuses on developing targeted solutions for domestic and global advertisers with multi-marketplace operations. By understanding and addressing their unique Seller Central needs we optimize for cross-marketplace efficiency improved performance and streamlined advertising experiences. Our team operates horizontally delivering impactful solutions that benefit both hands-on and hands-off advertisers globally.

Together we sit within Sponsored Products and Brands which is re-imagining advertising through the latest generative AI building responsible intelligent systems that balance the needs of advertisers the shopping experience and marketplace health.

- 5 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.

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 - 183800.00 - 248700.00 USD annually
USA WA SEATTLE - 167100.00 - 226100.00 USD annually