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| Funding | 250K-500K USD |
| Employees | 4 |
| Salary | Shhhh... |
| Fulltime | Yes |
| Telecommute | No |
| Industry | Web 2.0, Consumer, Discovery, Recommendations, Social Networking |
Engineer Architecting Large Attention Datasets
at Mr Tweet / Discoverio in San Francisco
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May 28, 2013
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Overview
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.
Responsibilities
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)
Experience
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
Compensation
Given the right profile, we would love to discuss a combination of salary and equity
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