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Wurl, LLC is offering a year-long internship for candidates with strong academic credentials in data analytics to join our Data Science and ML team.
Ideal candidates are pursuing a PhD or MSc in Data Science, AI/ML, Statistics, Physics, Mathematics, or Computer Science, and will analyze large datasets, normalize data, and contribute to data products. Remote-first, paid at $30/hr, with mentorship from experienced engineers.
About Wurl, LLC.
At Wurl, our mission is to create innovative technologies and services that help accelerate the shift to streaming. At our core, we are innovators focused on driving the streaming industry forward with technologies that help connect viewers to the right content and ads. Our technology and data-driven solutions help companies reach new audiences, engage high-value viewers, and ultimately increase their revenue.
In 2022, Wurl was acquired by AppLovin (Nasdaq: APP), a leading marketing platform, giving our employees the best of both worlds: the dynamic environment of a 150+ person startup as well as the stability of a high-growth public tech company. We invest in providing a culture that fosters passion, drives excellence, and encourages collaboration to drive innovation. Wurl is a fully-remote company that has been globally recognized for our people and technology, having been named a Great Place to Work by Fortune in 2022, 2023, and 2024; an Ad Tech Company of the Year finalist by the UK Business Tech Awards in 2023; a BIG Innovation Awards winner in 2024 and 2025; and the “Innovation in Advertising” winner by the StreamTV Awards in 2024.
Wurl is seeking an intern with proven academic achievements in data analytics related fields for a year long internship. Wurl’s position in the video and ad delivery ecosystem generates large quantities of data that needs to be carefully analyzed and normalized. We’re looking for an intern that can become familiar with Wurl’s datasets and their usage and support our Data Science and Machine Learning team. The ideal candidate is a PhD / MSc in the field of DataScience, AI/ML, Statistics, Physics, Mathematics, or Computer Science.
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