About Us:
Chartboost is the world’s largest mobile games-only platform, helping developers grow their audience, monetize, and make better data-driven decisions. We work with 90% of the top-grossing iOS and Android game developers and are currently being leveraged by over 300,000 games, reaching 1 billion active players around the world every month. We offer a simple SDK enabling cross promotion, direct deals, and a mobile ad network - all with 100% transparency and full control for our users, empowering them to run campaigns when, where, and how they want.
We are proud of the product we have built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
About the Role:
We are seeking an experienced Machine Learning Engineer to help build statistical models from Chartboost and third party data to improve the relevance of mobile ads shown in Chartboost ad network. This role involves developing and conducting experiments and analyzing the results to build and improve our ad relevance and targeting capabilities.
You will be working in a fast moving environment on an at-scale product. This is a high impact opportunity for the right candidate, who will be able to define both their team and tech.
Our technology stack includes Spark MLlib, Scala, Airflow, Hive/Hadoop, and Kafka running on AWS. Our developers write unit and integration tests to ensure high quality of our products. You have the opportunity to evaluate new technologies and use them to design better and reliable systems.
Responsibilities:
Required Skills & Experience:
Perks:
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