Thursday 31 July 2014

R&D Engineer - Data Mining/Data Analysis/Machine Learning | LinkedIn | San Francisco Bay Area


R&D Engineer - Data Mining/Data Analysis/Machine Learning | LinkedIn | San Francisco Bay Area


R&D Engineer - Data Mining/Data Analysis/Machine Learning

LinkedIn - San Francisco Bay Area

Posted 1 day ago
This is a preview of the R&D Engineer - Data Mining/Data Analysis/Machine Learning job at LinkedIn. To view the full job listing, join LinkedIn - its free!

About this job

Job description

Are you an applied research engineer / scientist who can work on massive semi-structured text and graph datasets?  You should have domain experience (i.e. in data mining, information retrieval, and/or machine learning) and a strong systems orientation.  You can have a huge impact on LinkedIn’s search relevance, ad targeting, information extraction and recommendations.
Requirements:
  • Solid experience in Java, C++, or another object-oriented language.
  • Good scripting skills in one of Python, Perl, or Ruby.
  • A Masters or PhD in Computer Science or related discipline.
  • Domain expertise in machine learning, data mining, information retrieval, or natural language processing.
  • Accustomed to iterative, test-driven development.
  • Exposure to configuration management (SVN, GIT, ant, maven etc).
  • Excellent communication skills, drive and discipline to get things done.

We'd prefer if you also have:
  • Worked with web-scale traffic and data.
  •  Experience with Hadoop, Pig, or other MapReduce paradigms.
  • Familiarity with internals of Lucene / SOLR or other information retrieval systems.
  • Published work in academic conferences or industry circles.
  • Worked with BIG data crunching millions of samples for modeling data mining, recommendation or search relevance solutions.
  • Involved in consumer-facing product development and design.

About this company

LinkedIn takes your professional network online, giving you access to people, jobs and opportunities like never before. Built upon trusted connections and relationships, LinkedIn has established the world’s largest and most powerful professional network. Currently, more than 238 million professionals are on LinkedIn, including executives from all five hundred of the Fortune 500 companies, as well as a wide range of household names in technology, financial services, media, consumer packaged goods, entertainment, and numerous other industries. The company is publicly held and has a diversified business model with revenues coming from user subscriptions, advertising sales and hiring solutions.
 
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation, or any other legally protected status.   If you believe you need a reasonable accommodation to search for a job opening or to apply for a position, please contact us by sending an email to accommodations@linkedin.com.


http://www.linkedin.com/jobs2/view/18038545?trk=jserp_job_details_text


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