Software Engineer - Data Mining/Data Analysis/Machine Learning | LinkedIn | Mountain View
Software Engineer - Data Mining/Data Analysis/Machine Learning
LinkedIn - Mountain View
Posted 1 day ago
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About this job
Job description
Software Engineer - Data Mining/Data Analysis/Machine Learning
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.
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
Founded
in 2003, LinkedIn connects the world's professionals to make them more
productive and successful. With more than 277 million members worldwide,
including executives from every Fortune 500 company, LinkedIn is the
world's largest professional network on the Internet. The company has a
diversified business model with revenue coming from Talent Solutions,
Marketing Solutions and Premium Subscriptions products. Headquartered in
Silicon Valley, LinkedIn has offices across the globe.
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/18038546?trk=jserp_job_details_text
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/18038546?trk=jserp_job_details_text
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