HOT JOB OF THE DAY


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:

3+ yrs of applied research experience related to computational linguistics, data analysis or search

Experience with statistical analysis and machine learning techniques

Knowledge of Text classification, Linguistics and Clustering

Knowledge of Evolutionary, Bayesian, and Markov approaches a bonus

SQL, Databases, XML experience required

PHP/Perl, C/C++ experience strongly desired

Strong people skills to work with other engineers

Strong work ethic, diligent and reliable

Proactive problem solving skills

Adaptable and innovative

To apply for this position, please visit

this link




This news message is supported by The Bazaar, a marketplace to buy and sell creative objects. Earn more revenue by selling your prints, downloadable images, or custom products. Set up your store today and stand a chance to have your products featured on DesignTAXI, towards millions of lovers of creative content!