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# Applied Scientist II, Data Intelligence and Governance

- **Company:** Amazon.com, Inc.
- **Location:** Sunnyvale, CA, United States
- **Experience:** Experienced
- **Salary:** $171,600.0 - $222,200.0
- **Contract:** Permanent contract
- **Skills:** Mxnet, Java (Programming Language), Artificial Intelligence, Business Software, C++ (Programming Language), Data Mining, Distributed Systems, Data Intelligence, Python (Programming Language), Machine Translation, Natural Language Processing, Parsing, Tensorflow, Software Engineering, Unstructured Data, Speech Recognition, Privacy Controls, High Performance Computing, Data Classification, Large Language Models, Deep Learning
- **Published:** July 22, 2026
- **Apply:** https://www.amazon.jobs/en/jobs/10480925/applied-scientist-ii-data-intelligence-and-governance

## About the Role

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
 - Experience in patents or publications at top-tier peer-reviewed conferences or journals
 - 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 building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
 - Experience with popular deep learning frameworks such as MxNet and Tensor Flow
 - Experience in professional software development

## Description

* Architect and define the next-generation data classification and search matching platform, leading the technical strategy for AI-driven security automation across applied science and engineering teams
 * Build on multi-agent LLM framework, and influence your organizations in adopting the promising approaches
 * Develop a highly scalable, traditional ML-based as well as LLM-based intelligent security agent framework that enables internal teams to automate processing of structured and unstructured data
 * Combine depth and breadth of domain expertise and provide technical leadership to the entire team while also doing hands-on work by diving deep into details to diagnose complex system performance problems.

About the team
The Data Categorization team helps Amazonians understand their data and govern it at scale and ensures experiences delivered by Amazon to our customers uphold our high security and privacy standards. The science team harnesses AI to strengthen Amazon's privacy and security posture more efficiently and effectively.


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