November 2008
Job Description:
StumbleUpon is looking for a talented research engineer to help improve the quality of their recommendation engine. This will involve research, analysis and implementation of algorithms and data elicitation methods that improve recommendation relevance as user feedback occurs.
The data source: Explicit preference and markup data on 14M websites from over 3.2 million websurfers. In total over 2.3 billion detailed stumble/rating/review records are available to analyze.
Adding on to that, to work with engineers and designers on methods of improving stumble quality; and invent new algorithms for information distribution and content discovery with the usage of statistical methods and machine learning to characterize user preference. Lastly, to investigate data mining and concept extraction strategies with evaluated and optimized classification and clustering methods.
Job Requirements:
To apply for this position, please visit
Want to see what 24 hours of creative awesomeness look like? Click here.

This news message is supported by The Creative Finder, an online platform for photographers, illustrators, designers, and art directors to promote their portfolios towards new clients and collaborators. Creatives who wish to sign up for an account can save 10% off annual fees with promo code 'designtaxi'.

