Vungle is the leading performance marketing platform for in-app video ads. Advertisers depend on Vungle's creative and LTV optimization technologies to reach and acquire high-value users worldwide. Top publishers rely on Vungle to generate revenue with engaging video ads that enhance the user experience.
Trusted by 60,000+ mobile apps worldwide, Vungle serves over 4 billion video views per month on 1 billion unique devices and is consistently top-rated in user quality by global performance indexes Vungle is backed by Google Ventures, Thomvest Ventures and Crosslink Capital. The company is headquartered in San Francisco with offices in London, Berlin, Beijing, Tokyo, Seoul and Singapore.
We are growing our world-class global creative engineering team with diversified skills and backgrounds. As a leader in in-app video advertising, we are taking on the challenge of fundamentally changing the wider advertising industry by way of defining and actioning the true impact of creative. We create ads and experiences that make sense for users, application developers, and advertisers.
Our Data Scientists work hand in hand with Machine Learning Engineers to design and maintain production systems that process hundreds of millions of ad requests daily. Data scientists work on the offline models as well as the real-time production code, relying on frameworks like Apache Spark, TensorFlow and scikit-learn, as well as custom implementations of the latest machine learning algorithms.
In this position, you will own the development of computational models informed by neuroscience to further expand Vungle’s NeuroX project. This role requires a strong understanding of state-of-the-art techniques for deep learning, computational modeling and programming skills. You will work cross-functionally with stakeholders from Vungle Creative Labs, Engineering and Data Science to build the world’s first biometric led creative automation platform. You will also have an opportunity to participate in building Vungle’s patent portfolio.
What you’ll do: