Applied Scientist II, Core Search

The Amazon Search team creates customer-focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories Amazon Product Search services go to work. We design develop and deploy high performance fault-tolerant distributed search systems used by millions of Amazon customers every day.

Search Autocomplete and Navigation focuses on helping customers express their shopping intent and navigate search results more this role you will invent universally applicable signals and algorithms to improve suggestion generation recommendations and ranking using LLMs and ML techniques. The improvements you make will help hundreds of millions of customers find the right products faster from the first keystroke through search result refinement. You will work on problems such as fine-tuning large language models for real-time suggestion generation under strict latency constraints personalizing recommended content to individual customers building evaluation frameworks for model selection and designing data-driven guardrails for LLM-generated content. The work will span the whole development pipeline including data analysis evaluation system design prototyping A/B testing and creating production-level systems.

Key job responsibilities
Your responsibilities include but not limited to:

* Analyze the data and metrics resulting from traffic into Amazons product search service.
* Design build and deploy effective and innovative ML and LLM solutions to improve search experiences.
* Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.
* Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IR.

- PhD or Masters 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

- Experience using Unix/Linux
- 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
- Experience building machine learning models or developing algorithms for business application

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