Hungry Machine

We’re Hiring!

LivingSocial is a social cataloging and discovery platform which connects you with the things you care about. If Google mapped all the documents on the web, and Facebook has mapped the social graph, LivingSocial maps people to the things they care about.

Located in Washington, DC and backed by Grotech Ventures and Steve & Jean Case, LivingSocial has 50M users and over 1B user preferences, with hundreds of millions of page views per month. We’re currently the largest application on Facebook. We’re building the largest database of people and things on the planet.

From the people we hire to the products we build, to how we take care of our employees, LivingSocial aims to be a place people loving coming to work every day. Our technical team is small, but we believe less of the right people can do a lot more. Millions of people use our products every day and we’re deeply committed to building products they love.  Contact us at: jobs@livingsocial.com

Who we’re looking for:

Web Developers:

• Proven ability to build and launch web applications you are proud of and people love. Send us links!
• You are self motivated and creative.
• You take extreme pride in your work.
• You are pragmatic. You simply get things done.
• At least 3 years of web development experience, frontend and/or backend.
• Qualified candidates should have Ruby/Rails experience, but not required.

Lead Data Warehouse Engineer:

• Real world experience with billions of pieces of data.
• Strong design/admin experience with relational DB’s, esp. MySQL/Postgres/Oracle/Teradata/Hadoop/MapReduce.
• Expert in Ruby/Java/Python/C++ development and debugging on a Linux platform.
• Analytical and meticulous in addressing performance, scalability and efficiency of large data warehouses.

Lead Analytics Engineer:

• An expert in developing scalable recommendation engines and continuously improving their quality.
• Expertise in clustering and classification techniques (SVM, NN, Boosting Methods, RF, etc.)
• Expertise in multivariate analysis, hypothesis testing, simulation, machine learning, large-scale data mining, statistical mining, times series analysis.
• Previously built a recommendation engine to drive online consumer recommendations

We’d also like to get to know you better.

When you reach out, answer some of the questions below.

• What are your 5 favorite websites on the internet and why?
• iPhone or Palm Pre? Why?
• Name five things you don’t leave the house without.
• If you were recommending your favorite book/movie/beer/album/etc to us, what would you say?

Contact us: jobs@livingsocial.com