Applied Scientist, SP Support Science

Amazons Selling Partner Support Science team builds the measurement and AI systems that power how Amazon understands diagnoses and eliminates the root causes of support contacts. Our vision is a continuous science-driven pipeline where LLM-powered classification causal impact measurement and multi-modal friction detection work together to identify why Selling Partners experience frictions and quantify which interventions resolve them. Our systems process tens of millions of cases evaluate hundreds of initiatives annually and directly inform investment decisions across the Selling Partner Services organization.

We are seeking a world-class Applied Scientist to help define and build the next generation of our LLM and ML systems. You will partner with applied scientists and engineers to design and deploy production-grade NLP pipelines multi-modal AI frameworks and scalable classification systems at Amazons scale owning your problem space end-to-end from formulating a scientific approach to shipping a system that 50 business teams rely on to make better decisions for millions of Selling Partners.

Key job responsibilities
- Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazons Selling Partners to succeed.
- Design develop and deploy highly innovative models to interact with Sellers and delight them with solutions.
- Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.
- Establish scalable efficient automated processes for large scale data analyses model benchmarking model validation and model implementation.
- Research and implement novel machine learning and statistical approaches.
- Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced experimental environment.

About the team
Amazons Selling Partner Support Science team builds the measurement and AI systems that power how Amazon understands diagnoses and eliminates the root causes of support contacts. Our vision is a continuous science-driven pipeline where LLM-powered classification causal impact measurement and multi-modal friction detection work together to identify why Selling Partners experience frictions and quantify which interventions resolve them. Our systems process tens of millions of cases evaluate hundreds of initiatives annually and directly inform investment decisions across the Selling Partner Services organization.

- PhD or Masters degree and 4 years of CS CE ML or related field experience
- 3 years of building machine learning models or developing algorithms for business application 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

- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience in investigating designing prototyping and delivering new and innovative system solutions
- Experience developing deploying and managing AI products at scale
- Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting

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 WA Seattle - 142800.00 - 193200.00 USD annually