Company Description
PubMatic (Nasdaq: PUBM) is an independent technology company maximizing customer value by delivering digital advertising\'s supply chain of the future. PubMatic\'s sell-side platform empowers the world\'s leading digital content creators across the open internet to control access to their inventory and increase monetization by enabling marketers to drive return on investment and reach addressable audiences across ad formats and devices. Since 2006, our infrastructure-driven approach has allowed for the efficient processing and utilization of data in real time. By delivering scalable and flexible programmatic innovation, we improve outcomes for our customers while championing a vibrant and transparent digital advertising supply chain.
Our Buyer Platform technology team is building an advertising optimization platform which will be key to the growth of advertiser budgets on PubMatic\'s Activate product.
We are building optimization techniques for improving the performance of advertiser budgets on our platform against a number of metrics: cost per click, cost per impression, video completes, and many others. These optimization techniques aim to improve both the performance and relevance of the inventory purchased through system, resulting in a better open web experience for consumers and improved return on ad spend for our advertisers.
We are hiring a Buyer Performance Solutions Engineer to join our growing team in Pune on a hybrid work schedule. The Buyer Performance Solutions Engineer will be responsible for designing and implementing systems for improving results for our advertiser campaigns through machine learning and other techniques. This involves deploying algorithms with high inference speeds to integrate with our Real Time Bidding systems, as well as training these algorithms using modern statistical techniques.
We are looking for people who are performance oriented, self-motivated, and can contribute to a multiple code bases in a variety of contexts as needed to deploy the solutions we develop. Experience with optimization techniques, randomized control trials, and adtech (particularly real time systems) is greatly preferred.
Responsibilities:
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