About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. and solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
The Impact You'll Be Contributing to Moloco:
enables marketplaces to leverage the recent advances in AI for delivering tailored ads to relevant users, driven by first-party data. We've established our MCM's product market fit with strong interest in our product. MCM is an important product that is key to Moloco's continued success and is in a high growth phase.
The Data Science & Applied Science team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. As a Senior Applied Scientist focused on Inference, you will be the primary architect of our experimentation platform and will develop the statistical methodologies that power business-critical decisions across the entire MCM product. You will have the opportunity to work on and improve various components of our ad-tech stack including ranking, retrieval, auction/bidding and budget pacing.
What You'll Do:
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