Amazon Applied Scientist Seller Fees Science & Tech 

United States, Washington, Seattle 

498201705

We are looking for an Applied Scientist with strong engineering background to join us on improving accuracy in billion-scale fee transactions worldwide and enhancing models to provide better Seller experience with fee services. In this role you will develop large scale deep learning systems to drive the fee calculations that impact hundreds of millions of products from third-party sellers in the Amazon product catalog. You will leverage sophisticated statistical methods, supervised and unsupervised learning models, as well as generative AI that can scale to production requirements worldwide. You will participate in developing models at the intersection of deep learning and causal inference. You will collaborate with other Applied Scientists, Research Scientists, Data Scientists, Economists, Software Developers, and Product Managers.Key job responsibilities
Responsibilities:
. Design measurable and scalable science solutions that can be adopted across stores worldwide with different languages, policy and requirements.
· Integrate AI (both generative and symbolic) into compound agentic workflows to transform complex business systems into intelligent ones for both internal and external customers.
· Develop large scale classification and prediction models using the rich features of text, image and customer interactions and state-of-the-art techniques.
· Research and implement novel machine learning, statistical and econometrics approaches.
· Write high quality code and implement scalable models within the production systems.
· Stay up to date with relevant scientific publications.

- 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
- 2+ years of deep learning, computer vision, human robotic interaction, algorithms implementation 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
- 2+ years of solving business problems through machine learning, data mining and statistical algorithms experience

- Experience using Unix/Linux
- Experience in professional software development