Posted 16 Jun 2022, 0:00 am

Senior Machine Learning Engineer at AppLovin

AppLovin’s leading marketing software platform provides app developers with a powerful, integrated set of solutions to solve their mission-critical functions like user acquisition, monetization and measurement. AppLovin is headquartered in Palo Alto, California with several offices globally. AppLovin was named one of the Hottest Adtech Companies of 2021 by Business Insider, as well as a Certified Great Place to Work in 2021 and 2022. The San Francisco Business Times and Silicon Valley Business Journal awarded AppLovin one of the Bay Area’s Best Places to Work in 2019, 2020, and 2021. Our team members are regularly recognized for their work and leadership, including recent award wins in Business Insider’s Rising Stars of Adtech 2022, Glassdoor’s Top CEOs 2019, and the 2021 Women in Content Marketing Awards. Data driven decision-making is integral to marketing, game development and operations at Applovin. We’re looking for sharp, disciplined, and highly quantitative machine learning engineers with big data experience and a passion for digital marketing and game technologies to help drive informed decision-making. You will work with top-talent and cutting edge technology on, for example, but not limited to, performance marketing and next-generation games and have a unique opportunity to turn your insights into products influencing billions of users. The potential candidate will have an extensive background in distributed training frameworks, will have experience to deploy related machine learning models end to end, and will have some experience in data-driven decision making of machine learning infrastructure enhancement. This is your chance to leave your legacy and be part of a highly successful and growing company! #LI-DL1 AppLovin is an equal opportunity employer and considers qualified applicants without regard to race, gender, sexual orientation, gender identity or expression, genetic information, national origin, age, disability, medical condition, religion, marital status or veteran status, or any other basis protected by law.

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Source: Remote Ok