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Funding250K-500K USD
IndustryWeb 2.0, Consumer, Discovery, Recommendations, Social Networking
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Engineer Architecting Large Attention Datasets

at Mr Tweet / Discoverio in San Francisco   —   Jul 23, 2014   |  
Where we sit. Nice and open!At Pier 38, a converted warehouse. It rocks!
We are building a brand new type of recommendation system focused on leveraging on all the open attention data being produced on Twitter and all other social sites. We are looking for a super smart hacker to work together with us.
Managing large attention data sets gathered from social media sites plus user generated data
Enhancing and building new features for a new type of recommendation engine
System Operations (of course)
Working with very large data sets and building scalable systems
Understands the basics of recommendation engines
Able to iterates rapidly based on user feedback
Rails is a bonus
Given the right profile, we would love to discuss a combination of salary and equity
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