Staff Software Engineer - Search
Location:
Sunnyvale , California
Posted:
February 03, 2017
Reference:
1853793551
LSS (LinkedIn Sales Solutions) is a Sales Engagement and Intelligence solution that leverages LinkedIn's 433M+ member network to help sales professionals find and build relationships with prospects and customers through social selling. LSS is one of the fastest growing revenue lines of LinkedIn. Our flagship product for sales professionals, Sales Navigator, is leading the revolution for social selling by connecting buyers and sellers in a whole new way. Serving both large enterprises and individual consumers, Sales Navigator is a SaaS product that helps sales professionals target the right people, understand their accounts, and engage at the right time.
LSS (LinkedIn Sales Solutions) engineering team is looking for a senior applied data engineer with strong command on machine learning, information retrieval, data mining and recommendation approaches alongside coding, application design and backend infrastructure. Most importantly, we seek a penchant for building compelling data products and drive to move business metrics delivering value to our members, customers and our business.
By joining the LSS team, you'll play a pivotal role in changing the way sales professionals do their jobs! Our flagship product for sales professionals, Sales Navigator, is leading the revolution for social selling by connecting buyers and sellers in a whole new way. Serving both large enterprises and individual consumers, Sales Navigator is a SaaS product that helps sales professionals target the right people, understand their accounts, and engage at the right time.
Responsibilities:
Responsible for leading product development involving application of data mining, information retrieval and machine learning approaches Be the liaison between Product Engineering and Relevance teams to deliver on applied research projects related to Search and Recommendations Participate in the design and implementation of the algorithms, data artifacts and systems powering compelling data products Thrive in a fast paced, test-driven, collaborative and agile development environment
Basic Qualifications:
B. . /B. . Degree or higher in Computer Science, or related technical field, or equivalent practical experience. Experience in Java, C++, or another object-oriented language.
Preferred Qualifications:
Master's Degree or higher in Computer Science, or related technical field.
4+ yrs of experience working with Data Products involving common machine learning, data mining, Information Retrieval, Search Relevance or Statistical Modeling techniques. 1+ years of contiguous experience working on a single product line (through multiple release cycles). Experience with software deployments across multiple data centers. Experience with industry-standard distributed computing paradigms (e. . MapReduce, Hadoop ecosystem, Spark, Storm). Knowledge of industry-standard search systems (e. . Lucene/SOLR, Elasticsearch). Strong knowledge and production code experience in distributed web services. Experience designing, running, and analyzing A/B tests in order to optimize engagement or business metrics.

A little about us:
LinkedIn's vision is to create economic opportunity for every member of the global workforce. Our employee talent is our #1 operating priority.

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