Senior Research Engineer at StumbleUpon

We are looking for a talented research engineer to help us improve the quality of our 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.

Responsibilities:

• Work with engineers and designers on methods of improving stumble quality
• Invent new algorithms for information distribution and content discovery
• Use statistical methods and machine learning to characterize user preference
• Investigate data mining and concept extraction strategies
• Evaluate and optimize classification and clustering methods

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

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