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Wikimedia Foundation





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\nSummary\n\nOur small team is passionate about making knowledge discoverable. We are responsible for Wikidata Query Service (a graph database that allows users to run arbitrary SPARQL queries on Wikidata) and for the search engine used on Wikipedia and its sister projects.\n\nWe are looking for a software engineer to help us bring the Search Platform team to the next level.\n\nWe use open-source tools as much as possible, and always open source our own work. Java, Python, PHP, and Scala make up most of our code, but we value using the right tool for the job. Our world is vast and can be complicated, so we value communication, enthusiasm, and an eagerness to learn.\n\nYou are responsible for:\n\n\n* Work and communicate clearly and effectively within a small team that spans multiple time zones\n\n* Help maintain, scale, and extend query services at the Wikimedia Foundation — this includes the Wikidata Query Service (WDQS) and our Elasticsearch-based search engine\n\n* Improve the integration of Search, Wikidata Query Service, and the MediaWiki platform\n\n\n\n\nSkills and Experience:\n\n\n* Good working knowledge of software design principles\n\n* Good understanding of how to scale applications, in terms of load, complexity, and performance\n\n* Ability to work in a Linux server environment\n\n* Write code in Java and PHP that stands the test of time\n\n* Demonstrated experience in large-scale Java applications\n\n* Be willing to travel occasionally - sometimes internationally - for team and organizational meetings\n\n* Proficient English speaker\n\n\n\n\nAdditionally, we’d love it if you have:\n\n\n* Degree in computer science, statistics, math, physics or other quantitative discipline; equivalent experience learned hands-on on the job also works\n\n* Experience with graph databases\n\n* Experience working on open source, collaborative development projects\n\n* Understanding of free culture / free software / open source principles\n\n* Exposure to applied machine learning (ML), deep learning, or natural language processing (NLP)\n\n* Familiarity with statistics\n\n* Experience with an internet software environment operating at scale; for example, messaging platforms that process hundreds of thousands of events per second\n\n* Big thumbs ups if you are a contributor to Wikipedia\n\n\n\n\nShow us your stuff! If you have any existing open-source software that you've developed (this could be your own software or patches to other packages), please share the URLs for the source. Links to GitHub, etc. are especially useful.  \n\n\nU.S. Benefits & Perks*\n\n\n* Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)\n\n* The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more\n\n* The 401(k) retirement plan offers matched contributions at 4% of annual salary\n\n* Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.\n\n* Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.\n\n* For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program\n\n* Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses\n\n* Telecommuting and flexible work schedules available\n\n* Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax\n\n* Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people\n\n\n\n\n*Eligible international workers' benefits are specific to their location and dependent on their employer of record\n\nMore information\n\nWMF\nBlog\nWikimedia 2030\nWikimedia Medium Term Plan\nDiversity and inclusion information for Wikimedia workers, by the numbers\nWikimania 2019\nAnnual Report - 2017

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