Engineering Manager - Feed Relevance
Posted: February 06, 2017
Reference ID: 608888837
Engineering Manager - Feed Relevance - Sunnyvale or San Francisco, CAAre you passionate about text mining, information retrieval, and machine learning? Do you enjoy leading engineers that design algorithms, build models, and move metrics by applying these techniques to solve real world problems that improve the lives of hundreds of millions of professionals?As an Engineering Manager on the Feed Relevance Team you will be responsible for leading a team of data scientists and relevance engineers that build and own recommendation algorithms, models, and systems for the LinkedIn Feed. You will work with some of the best engineers and scientists on state-of-the-art technology that leverages truly big data. 's relevance systems process structured and semi-structured data in the 450+ million member profiles and combine that data with features extracted from news articles, job listings, LinkedIn Learning courses, and many more update types to personalize the LinkedIn Feed experience for each member. Our relevance systems and algorithms power the core LinkedIn. Feed experience, reaching more than 450 million members in over 200 countries and territories. was built to help professionals be more productive and successful in their careers. Every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. a hands-on manager, you will participate in key technical and design discussions with technical leads in the teamCollaborate with application engineering, product, and marketing teams to design relevance features and define product strategy for the LinkedIn FeedOwnership of feature engineering, statistical modeling, and A/B experimentation that enable and drive rich daily use-cases for LinkedIn membersAttract world class talent and provide technical guidance, career development, and mentoring to team membersBasic QualificationsExperience leading a team of engineers as a people managerMasters Degree in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Computational Statistics, or related discipline. in Java, C++, or another object-oriented language. using at least one of the following clustered computing systems: MapReduce, Dataflow, Hadoop/Cosmos/Spark, Lucene/SOLR or Storm/Samza. Qualifications2+ years of management experiencePh. . in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Computational Statistics, or related discipline. with web-scale traffic and data. with developing consumer or news feed data products. with statistical modeling deployed at scale. work in academic conferences or industry circles.