Applied Scientist, PXT Central Science

About the Role

The People eXperience Technology (PXT) Central Science (PXTCS) team's mission is to make PXT the most scientific, technologically proficient, and inclusive HR organization in the world. PXTCS accelerates scientific rigor in business-led initiatives, works backwards from employee experience, and delivers science-driven products to improve the well-being and value of work for Amazonians globally. We are seeking an Applied Scientist to build production machine learning systems that solve complex business problems at scale. You will design, develop, and deploy ML solutions that directly impact millions of users and drive strategic decision-making across the organization. In this role, you will work on challenging problems spanning predictive modeling, computer vision, natural language processing, recommendation systems, and generative AI applications. You will collaborate with cross-functional teams to translate ambiguous business challenges into rigorous technical solutions.

Key Responsibilities

• Apply and adapt state-of-the-art scientific techniques to solve well-defined problems in employee experience, using reasonable assumptions, data, and customer requirements.
• Design, develop, and implement small-to-medium ML components 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.
• 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 that simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.

Requirements & Tech Stack

• Experience building machine learning models or developing algorithms for business application.
• Experience researching about machine learning, deep learning, NLP, computer vision, data science.
• Experience programming in Java, C++, Python or related language.

Qualifications

• Master's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields.
• Preferred: PhD in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields.
• Preferred: Publications at top-tier peer-reviewed conferences or journals.
• Preferred: Experience applying computer vision to safety, ergonomics, or facility-condition imagery.