[Ever wonder what it's like to work at Facebook?](https://www.kaggle.com/c/facebook-v-predicting-check-ins/details/work-at-facebook)
Facebook and Kaggle are launching a machine learning engineering competition for 2016. Trail blaze your way to the top of the leaderboard to earn an opportunity at interviewing for one of the 10+ open roles as a software engineer, working on world class machine learning problems.
![](https://storage.googleapis.com/kaggle-media/competitions/kaggle/5186/media/FB5_banner.png)
The goal of this competition is to predict which place a person would like to check in to. For the purposes of this competition, Facebook created an artificial world consisting of more than 100,000 places located in a 10 km by 10 km square. For a given set of coordinates, your task is to return a ranked list of the most likely places. Data was fabricated to resemble location signals coming from mobile devices, giving you a flavor of what it takes to work with real data complicated by inaccurate and noisy values. Inconsistent and erroneous location data can disrupt experience for services like Facebook Check In.
We highly encourage competitors to be active on
[Kaggle Scripts](https://www.kaggle.com/c/facebook-v-predicting-check-ins/scripts)
. Your work there will be thoughtfully included in the decision making process.
Please note: You must compete as an individual in recruiting competitions. You may only use the data provided to make your predictions.