We are a dynamic, VC funded, cross-platform video startup at the forefront of user interface, search, social network and prediction market technologies.

Our office is located in a historic building in the most convenient area to work in San Francisco (varied lunch and coffee options, dry cleaning, BART, ferry, Muni within three blocks).

Office perks include fierce battles on our Wii and the opportunity for players to recuperate in our plush iJoy massage chair.

We want to extract and share the deep "wisdom of crowds" by analyzing the actions of millions of users on our website and save future users from watching useless videos.

Requirements

- 3+ yrs of applied research experience related one or preferably more of the following:

   - computational linguistics

   - collaborative filtering

   - behavioral profiling

   - relationship mapping

   - semantic clustering

   - symbolic systems

   - Bayesian statistics

   - feedback analysis

   - personalized search

- You've seen all the common solutions for content discovery and managing information overload and you are convinced that you can radically improve on established practices for them are a looking for the support to do it.

- You have exhibited intuition for creating heuristics that approximate the perfect answer to a problem

- You have at least once improved a analytical system by improving the data (via a better way of generating and catching it) rather than tweaking the math.

- SQL, XML and OOP programming experience

- Comfortable working in both a LAMP development environment

- Ability to translate complex math into something an engineer can program a computer to do

Pluses

- PHP experience

- Experience in the entertainment/media space

- Practical understanding of how to scale machine learning algorithms, statistical database queries and artificial intelligence systems

- Ability to write pro

To apply, please visit this page