About the Role:
The Data Science Engineering (DSE) team is responsible for the economics of AdRoll’s core products. Our in-house machine learning frameworks run over hundreds of terabytes of data daily, ensuring our pricing engine stays fresh and accurate as it bids on billions of ad opportunities, dynamically making product recommendations, and selecting the best opportunities for our advertisers. ML Infrastructure members have a passion for technology and mathematics, and are responsible for setting up the systems architectures that feed and execute our machine learning algorithms at scale.
AdRoll engineers are afforded significant autonomy. ML Infrastructure engineers design their systems as they see fit, own their code, enable analysts to dive deep with ease, and ensure our hungry machine learning algorithms are fed. Beyond data pipelining, AdRoll DSE is also responsible for a variety of high-availability, high-QPS prediction servers that must return results on the order of milliseconds. ML Infrastructure engineers work on a variety of projects with data from disparate sources, but all at large scale.
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