Yelp: Software Engineer – Ads/Revenue

Posted by | July 25, 2012 | Web Professional Jobs Blog

Location: San Francisco, California, United States, 94103

71 million people visit Yelp every month to connect with local
businesses. Thousands of local businesses advertise on Yelp every day to
this audience. Your challenge: to improve this experience on both sides
by driving our next generation ad targeting and delivery systems. We’ll
give you access to terabytes of data, a map-reduce cluster, and a team
of other brilliant engineers. This is an incredible opportunity to
significantly improve the Yelp experience for consumers and advertisers
alike. If you’re up for the challenge, we want to hear from you.
 
Responsibilities:
  • Leverage our database of content and site traffic to improve ad targeting
  • Design and implement strategy to scale ad systems horizontally
  • Handle large data sets efficiently
  • Analyze, design and implement targeted relevance algorithms
  • Interface closely with infrastructure, operations and product teams
 
Requirements:
  • Minimum BA/BS degree in Computer Science, Math, or related degree
  • Very strong grasp of algorithms and data structures
  • Command of your favorite modern programming language: Python, Java, C++, etc.
  • Thrive on implementation and scaling horizontally
  • Comfortable working in a Unix environment
  • Experience with R, Mathematica, Matlab, or any other stats package
Pluses:
  • Experience with auctions, game theory, and ranking
  • Experience tackling tough data problems with Hadoop (or related frameworks)
  • Background in machine learning and/or information retrieval
  • Enjoy trying to predict CTRs and CPMs.
  • Battle-worn MySQL knowledge
  • Specific interest in search engines, spam detection, recommendation systems, or social networks
  • Active contributor to open source software
  • Command-line scripting skills
Interested in applying? Sweet!
Share with us why you want to work at Yelp and don’t forget to mention
any technical side projects, open source contributions, and personal
websites/blogs.

To apply: Apply Here – http://www.Click2apply.net/gmkbkfw

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