Applied Scientist, PXT Central Science NLP for HR AI

Amazon Inc.; Bellevue (WA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

RSUs

Health insurance

Paid time off

401(k) matching

Job summary

Amazon.com Services LLC is seeking an Applied Scientist to build production ML systems that transform employee listening signals into scalable insights. You will tackle NLP, large language models, predictive and generative AI applications to improve employee experience across Amazonians worldwide.

You will collaborate with cross-functional teams to translate business challenges into rigorous technical solutions, contribute to production-ready code, and mentor interns in a fast-paced environment.

Qualifications

• Experience programming in Java, C++, Python or related language.
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.
• Experience implementing algorithms using toolkit and self-developed code.
• Publications at top-tier peer-reviewed conferences or journals.

Responsibilities

• Apply and adapt state-of-the-art NLP and machine learning techniques to extract structured signals from employee listening data.
• Design, develop, and implement ML components on top of the employee listening system, such as theme and sentiment extraction, text classification, and aggregated signals.
• Write secure, stable, testable, maintainable code to deliver production-ready solutions.
• Design features and signals with privacy-preserving practices for sensitive employee data.
• Collaborate with cross-functional partners and help mentor interns.
• Communicate complex technical concepts to diverse audiences including senior leadership.

Skills

Java

C++

Python

SQL

Data Warehouse

Algorithms

Publications

Job description

Amazon.com Services LLC is seeking an Applied Scientist to build production ML systems that transform employee listening signals into scalable insights. You will tackle NLP, large language models, predictive and generative AI applications to improve employee experience across Amazonians worldwide.

You will collaborate with cross-functional teams to translate business challenges into rigorous technical solutions, contribute to production-ready code, and mentor interns in a fast-paced environment.