The People eXperience and Technology (PXT) Central Science Team uses economics, behavioral 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 are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We invest in innovation and rapid prototyping of scientific models and software solutions to accelerate informed, accurate, and reliable decision backed by science and data.

We are looking for a Software Development Engineer (SDE) with an expertise in machine learning lifecycle management, model training & validation, and model debugging & analysis tools. The ideal candidate will have strong software engineering fundamentals & system architecture skills, have strong fundamentals in machine learning, be able to train and deploy models along with exposure to ML system design, frameworks and best practices. The software engineer will to transform and model data, and research all aspects of HR, including workforce planning, recruiting, employee engagement, retention, development, employee benefits, and compensation.


Key job responsibilities
As a Software Engineer, you will collaborate with economists, academic scholars, machine learning scientists and other SDEs across the company to develop, test, and deploy services that implement a wide range of econometric and machine learning models. This requires the use of sophisticated distributed systems, the processing and visualization of Big Data and application of advanced statistical techniques. A successful candidate will have a passion for innovation, interest in cutting-edge technology, and excitement about working in a high-impact domain.


About the team
Our team builds distributed, scalable, and highly available systems that make machine learning (ML) and econometrics models run faster. We own products ranging from data lakes to tools for ML and analytics to web applications and software solutions integrated with other Amazon systems. Robust and user friendly software solutions, and data security and privacy are our top concerns. In addition to Austin, we are open to Seattle.