Applied Scientist, PXT Central Science

The People eXperience Technology (PXT) Central Science (PXTCS)"s mission is to make PXT the most scientific, technologically proficient, and inclusive HR organization in the world. PXTCS does this by accelerating scientific rigor in business-led initiatives, working backwards from employee experience, and delivering science-driven products that improve the well-being of and value of work for Amazonian worldwide.

We are seeking an Applied Scientist to build production machine learning systems that turn Amazon"s employee listening signals into insight at scale. You will design, develop, and deploy ML solutions that transform large volumes of employee feedback - survey responses, free-text comments, and other listening channels - into signals that drive strategic decision-making across the organization. In this role, you will work on challenging problems spanning natural language processing, large language models, predictive modeling, and generative AI applications applied to employee experience. You will collaborate with cross-functional teams to translate ambiguous business challenges into rigorous technical solutions.

Key job responsibilities

• Apply and adapt state-of-the-art NLP and machine learning techniques to extract structured, reliable signals from employee listening data (surveys, free-text feedback, and related channels), using reasonable assumptions, data, and customer requirements.
• Design, develop, and implement small-to-medium ML components on top of the employee listening system - such as theme and sentiment extraction, text classification, and aggregated signal generation - with input and guidance from senior scientists, taking ownership of the code in your components.
• Write secure, stable, testable, maintainable, well-reviewed code (at the SDE I bar) to deliver solutions into production that benefit customers and the business.
• Design features and signals responsibly, applying privacy-preserving practices appropriate to sensitive employee data.
• Collaborate with cross-functional partners to understand business context and impact, and help mentor interns.
• Communicate complex technical concepts to diverse audiences, from technical peers to senior leadership.

About the team

The People eXperience and Technology Central Science Team (PXTCS) uses economics, applied science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We build and apply science on top of Amazon"s employee listening systems - turning what Amazonians tell us into products and insights that improve their experience. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.