{"id":18999,"date":"2018-02-08T16:39:03","date_gmt":"2018-02-08T21:39:03","guid":{"rendered":"https:\/\/itp.nyu.edu\/opportunities\/?p=18999"},"modified":"2018-02-08T16:46:03","modified_gmt":"2018-02-08T21:46:03","slug":"job-trash-freelance-part-time-multimedia-data-scientist","status":"publish","type":"post","link":"https:\/\/itp.nyu.edu\/opportunities\/2018\/02\/08\/job-trash-freelance-part-time-multimedia-data-scientist\/","title":{"rendered":"JOB: TRASH, Freelance\/Part-time, Multimedia Data Scientist"},"content":{"rendered":"
“So, my co-founder and I are building some really fun video editing software – an AI that knows a thing or two about video that you collaborate with on your device. We want to put the playful, exploratory fun back into video editing and help lower the barrier to make beautiful edited content.\u00a0<\/em><\/div>\n
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We are looking for a data scientist to help us build new viable ontologies, taxonomies and new data sets for video. They’d be working with us on both proprietary and open source software (woo!).\u00a0<\/em><\/div>\n
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We want someone who can think both deeply and ethically about this problem space to help us build some really fun tools.\u00a0<\/em><\/div>\n
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If you, or anyone you know lives and breathes these sorts of problems, please let us know \/ send them the JD link below. We’re equal opportunity and are making it a priority to build a diverse and talented team of humans from all backgrounds.”<\/em><\/div>\n
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The Company<\/b>
\n<\/span>TRASH is a new video tech startup in Brooklyn. We\u2019re using AI to build predictive editing for video in fun, ethical, and experimental ways. We think a lot about machine assisted creativity, the rise and future of mobile video, and the intersection of art and technology. We also think about what makes a good house party \u201cgood\u201d, and if the principles and outcomes of this can be applied to a new corner of the internet :)<\/span><\/p>\n

The Opportunity<\/b><\/p>\n

If you get excited by the idea of having a ton of autonomy and leadership at an early stage startup, learning and making alongside two repeat founders with deep domain experience, and helping shape an inclusive and diverse product and company culture, this is for you. We\u2019re early stage (pre-seed funding, pre-launch) and are ready to build out the data model for our core tech \u2013 which is where you come in!<\/span><\/p>\n

The Gig<\/b><\/p>\n

We\u2019re looking for an interdisciplinary data scientist with a strong visual and ML background who has a passion for wrangling nuanced data sets, solving difficult creative problems, and isn\u2019t afraid to bleed from the cutting edge of what is *just* technically feasible. You must be able to code (though not necessarily deploy to production), as well as use your ontology engineering \/ information science skills to do topic modeling and classification on video data.<\/span><\/p>\n


\n<\/span>You would be working with us to\u2026<\/b><\/p>\n