The Scoring Platform team builds and maintains machine learning technologies to empower millions of users – readers, contributors, and donors – who contribute to Wikipedia and its sister projects on a daily basis. We address process inefficiencies with machine learning technologies, we design and test new technology, we produce empirical insights, and we publish and present research of the intersection of technology and culture. We are strongly committed to principles of transparency, privacy and collaboration. We use free and open source technology and we collaborate with researchers in the industry and academia.
As an Associate Software Engineer of the Scoring Platform team, you will help us build and scale our machine prediction service, train new machine learning models, and implement other data-intensive applications. You’ll interact with researchers and volunteer contributors to Wikimedia Projects. You’ll build machine learning-based technologies and we’ll learn about the impacts of those technologies together.
You are responsible for:
Skills and Experience:
Additionally, we’d love it if you have:
Posted Wikimedia Foundation, Inc. Software Engineer Associate, Scoring Platform on July 19, 2019 via
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