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If you are an applied research engineer/scientist with a passion for working on massive semi-structured text and graph datasets, then the LinkedIn Data Team is the place for you. The ideal candidate will have domain experience (data mining, information retrieval, security data science, natural language processing, advanced statistics, and/or machine learning), a strong systems orientation, and experience in building data mining products. The work you put forth will directly impact and fuel LinkedIn’s search relevance, ad targeting, information extraction, and recommendations.
- Work withBIG data, crunching millions of samples for modeling data mining, recommendation, or search relevance solutions.
- BA/BS. Degree in Computer Science or related technical discipline, or 4+ years of related practical experience.
- 1+year of relevant workexperience.
- 2+ years of relevant work experience.
- MS or PhD in Computer Science or related technical discipline
- Working knowledge in one or more of the following: machine learning, data mining, information retrieval, security data science, advanced statistics or natural language processing.
- Experience with iterative, test-driven development.
- Experience with configuration management (SVN, GIT, ant, maven, etc.).
- Experience with developing and designing consumer-facing products.
- Experience with Hadoop, Pig, or other MapReduce paradigms.
- Knowledge of internals Lucene/SOLR or other information retrieval systems.
- Published work in academic conferences or industry circles.