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Job Description:

About the teams:
Our Search & Data Mining, Ads and Spam Prevention teams see 33M+ Yelp reviews and 100M+ monthly unique visitors as one giant playground for data mining. They banter about Bandits, know their way down a Gradient, and aren’t too Naïve to kick back in our Bay(es) Area offices. We love new ideas and collaboration: don’t come here with any Prior prejudices or you will Maximize your Likelihood of getting your Posterior kicked.

Our mission: to make Yelp psychic. When you want cheap thai delivery for dinner, your wish is our code. Looking for a memorable night out? An ad for the best local flower shop might be just the tip you need to make the night unforgettable.

Our teams eat data for breakfast, chew it up, and spit out useful products. Saddle up and get on board!

You will...

  • Work with the team to come up with creative ideas for new products and signals, then carry those ideas all the way to launch.
  • Explore data to measure the impact of your changes and come up with ideas for how to maximize that impact.
  • Work closely with infrastructure engineers to make sure that your algorithms will effectively scale to large data sets and to ensure that their systems provide the flexibility needed for your ideas.

You should have...

  • A passion for big data, and creative ideas for what to do with it.
  • The algorithms and data structures experience to make your ideas workable.
  • The coding experience to turn those ideas into reality. We use Java & Python. You don’t need to be an expert, but experience is a plus and we will expect you to learn them on the job.
  • A background in Machine Learning or Information Retrieval.
  • Minimum BA/BS degree in Computer Science, Math, or related degree
  • A love of delighting people with local knowledge.

Pluses...

  • Experience working with ElasticSearch, Lucene, Hadoop, or mrjob
  • Experience applying Auction theory, CTR prediction, Game theory, Graph theory, Natural language processing, Recommender systems, Spam detection, Stochastic optimization



Apply Here

Job Category:

Engineering / Technical Services

Career Level:

Mid Career (2+ years of experience)

Job Type:

Full Time/Permanent

Positions:

1