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# Applied Scientist, SP Support Science

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $142,800.0 - $193,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Business Software, C++ (Programming Language), Data Mining, Distributed Systems, Python (Programming Language), Machine Learning, Parsing, High Performance Computing, Model Validation, Generative AI
- **Published:** July 18, 2026
- **Apply:** https://www.juju.com/job/00000000ghj6h0

## About the Role

PhD, or Master's 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

Preferred Qualifications

 - 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

## Description

Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's 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.


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