Applied Scientist, PXT Central Science

About the role

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.

Basic Qualifications

• Experience programming in Java, C++, Python or related language
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Preferred Qualifications

• Experience implementing algorithms using both toolkits and self-developed code
• Have publications at top-tier peer-reviewed conferences or journals

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

• USA, CA, San Francisco - 157,300.00 - 212,800.00 USD annually
• USA, MA, Boston - 136,000.00 - 184,000.00 USD annually
• USA, TX, Austin - 136,000.00 - 184,000.00 USD annually
• USA, VA, Arlington - 136,000.00 - 184,000.00 USD annually
• USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually
• USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually