MYLIKES - San Francisco, CA

This job posting is no longer available on Indeed. Find similar jobs:Software Engineer jobs - MYLIKES jobs

MyLikes is the world's largest ad platform for the people web and allows social publishers on Twitter, Tumblr and YouTube to create sponsored offers for advertisers they like. We are a highly accomplished team backed by top-tier VCs and well-known angel investors.

Benefits and Perks

  • Competitive compensation, including 401(k) and generous equity compensation
  • Easily accessible location in the heart of SOMA, blocks from Caltrain, MUNI and BART
  • A fun work environment with few meetings but frequent group outings, happy hours and off-sites
  • Our focus is on rapidly pushing out new product features and iterating on our existing product
  • Contribute to growing a profitable business with a healthy revenue stream
  • A shiny, new MacBook Pro or Air, a 30" monitor, and any other gear you'd like

Fully-stocked kitchen, catered in-office lunches, and fresh beer on tap

  • Flat company structure with lots of autonomy and no VPs or directors

Open Positions
Iphone & Android Engineers
Iphone & Android Engineer
Engineer | San Francisco, CA, United States
We are a fast moving team handling a lot of scale (we deal with largish data sets, process requests which touch many servers) and sophisticated technology with a fairly small high-powered team.
We are looking for people who want to make a significant impact on the product. Our compensation includes a significant amount of equity as we want our early employees to be emotionally invested in the success of the product. We are committed to building a cutting-edge technology company that is a place where engineers love to work.
Here is who we are looking for:

Great programmers with at least a couple of years of experience and one shipping project that they can showcase
Engineers with Python experience (just a preference)
Big plus if you are a generalist who can work on different levels of the stack
Big plus if you have real world machine learning/data analysis experience