Streamroot: building the video delivery of tomorrow
At Streamroot, were working to overcome one of the biggest challenges facing the internet today: the explosion of video traffic. Our goal is to redesign the way we deliver video online, to create more robust, cost-effective infrastructures, & to touch millions of internet users by bringing quality video to every corner of the world.
With a hybrid peer-to-peer solution to video streaming, Streamroot helps online video platforms improve quality of service, scale to growing audiences & cut their bandwidth costs by up to 70%.
We are market leaders in both Europe & the US. Founded in 2013 by three engineers from Ecole Centrale Paris, Streamroot grew from 3 to 25+ employees last year & now has offices in Paris & New York. We took part in some of the best startup accelerators in the world (Techstars, Numa) & now count Dailymotion, Eurosport & other streaming giants among our customers.
As a member of our Data Science Task Force, you will help us understand the huge amounts of data we have from video viewers all over the world. You will transform our data into comprehensive representations to provide our team with insights into our product & actionable feedback on how to increase its performance.
Our development environment fosters initiative, collaboration & accountability. You will have the chance to make a difference across our team: from the core peer-to-peer development, the backend supporting it & the customer-facing sales & support teams.
You will take the lead in discussions about improving our algorithms & which metrics should be used to measure gains. You will give visibility to the team by providing reports about each new improvement pushed to production & may even have the opportunity to implement these improvements into our core code!
And last but not least, youll enjoy frequent trips & team events (and the special Streamroot happy hour at the bar next door!).
This internship is a great stepping-stone for those interested in a career in data science, & to a full-time position in our team.
- Work with our Data Science Team to leverage the data we extract from the 20 millions daily sessions using Streamroot technology.
- Complete our datasets with new metrics, new dimensions & build tools to analyse those datasets.
- Understand the inner workings of our core P2P product, & devise new ways of measuring & improving the performance of our algorithms.
- Design reports to provide actionable feedback on our product.