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The Wikimedia Foundation is growing its Machine learning efforts. This an opportunity to be part of the team that builds and maintain 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 external researchers and our volunteer community.
We are looking for an experienced Engineering Manager to help build features that enable our communities to achieve our Vision: a world in which every single human being can freely share in the sum of all knowledge. As an Engineering Manager, you will support engineers building features, products, and services used by hundreds of millions of people around the world. This is an opportunity to do good while improving one of the best known sites in the world.
We’d like you to do these things:
We’d like you to have these skills:
And it would be even more awesome if you have this:
Show us your stuff! If you have any existing open source software that you or teams you have lead have developed (these could be your own software or patches to other packages), please share the URLs for the source. Links to GitHub,GitLab, BitBucket, Presi, YouTube, Medium, etc. are especially useful.
U.S. Benefits & Perks*
*Eligible international workers' benefits are specific to their location and dependent on their employer of record
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