Full Time / San Francisco
About Scribd: http://www.scribd.com
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Are you passionate about artificial intelligence, data mining, and the web? Wondered what it would have been like to join Google in the early days?
Scribd is building a new team to tackle a still-confidential project that involves crawling a large subset of the web and mining it for structured data. This is an engineer's playground of interesting technical problems and a great opportunity to get involved at the ground floor of a new product.
The Ideal Profile
We're looking to add people with varied experience levels, from seasoned veterans of web crawling to talented engineers who can learn fast and would like to try something new.
The ideal candidate is someone who loves the web and web technologies, but rather than continuing to build their own sites is interested in helping to make the web more useful by understanding the data already there. Building a great web crawling operation is a combination of formal artificial intelligence techniques, system scalability problems, and clever heuristics with a helping of good judgement. For the right person, this should sound like a really fun problem.
Work with team to develop software that can mine structured data from the web Continually test, refine, and improve the accuracy of extraction technology Develop and scale a distributed web crawling engine Use a combination of formal and heuristic techniques to cover the largest possible set of cases with the minimum amount of effort
This position reports to Dir of Engineering.
Location: You are preferably located near San Francisco, CA. Relocation assistance is designed on a per-case basis. In short, we'll be creative to get you here.
Please send your email cover letter and resume with the subject "Your name– Engineering - web data mining – via github" to firstname.lastname@example.org. All communication and correspondence is held in the strictest confidence to ensure that you can connect and learn more without exposure.