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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Visual Discovery at Pinterest · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1702.04680/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1702.04680/feed.xml" rel="self" type="application/rss+xml" /><item><title>Visual Discovery at Pinterest — mentioned by dkislyuk</title><link>https://news.ycombinator.com/item?id=14243756</link><guid isPermaLink="false">urn:hackerpapers:mention:1702.04680:14243756</guid><pubDate>Tue, 02 May 2017 03:31:44 GMT</pubDate><description>&lt;p&gt;Visual Search at Pinterest | Software Engineer | Full time or students (part-time) | San Francisco | visual search / deep learning / full stack engineering Visual Search team at Pinterest is looking for engineers to work on applied computer vision products, with a focus on large-scale image retrieval, ranking / search quality, object detection, and visual embedding learning. The team is composed of backend engineers, and we work on everything from building scalable search infrastructure, to building out a visual search platform to help our partners, to applying and developing the latest…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1702.04680/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
