Machine Learning Engineer

About AppLovinAppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE.【The Role】We are looking for a Machine Learning Engineer with strong experience in large-scale recommendation systems to help build the next-generation social media platform.You will own critical components of our recommendation stack — including recall, ranking, CTR modeling, and multi-objective optimization — with the goal of driving retention, engagement, and long-term ecosystem growth.【A Day in the Life】Design and deploy scalable recommendation pipelines Develop and optimize CTR/CVR prediction modelsImprove multi-objective ranking strategies (retention, monetization, diversity, long-term value)Tackle cold-start challenges for new users and new contentRun offline experiments and online A/B testing to drive measurable gainsCollaborate closely with product, engineering, and monetization teamsContinuously iterate on model performance, latency, and system reliability【The Impact You’ll Make】Improve user retention through intelligent content recommendationDrive measurable lift in engagement and monetization metricsBuild core ranking mechanics beyond incremental model tuningShape the foundation of a scalable, long-term content ecosystem【Who You Are】3–5 years of experience building production-grade ML systemsStrong hands-on experience in recommendation systemsExperience in one or more:Recall systems / candidate generationRanking modelsCTR predictionMulti-task or multi-objective optimizationProficient in Python and ML frameworks (PyTorch, TensorFlow, etc.)Strong software engineering fundamentalsExperience with large-scale data systems and distributed training is a plusExperience improving retention or long-term user value is highly valued【Why Join This Venture】Build 0-to-1 systems inside a proven AI powerhouseHigh ownership and direct business impactStartup speed with AppLovin-level scale and resourcesOpportunity to shape a new growth engine for the company