CF CloudFrame Job Scanner Open Dashboard →
Verified Active Opening

Machine Learning Engineering Intern (2027 Summer Internship)

Applovin • Singapore

Job Description

<div class="content-intro"><h3><span style="font-weight: 400;"><strong>About AppLovin</strong></span></h3> <p><a href="https://cts.businesswire.com/ct/CT?id=smartlink&url=http%3A%2F%2Fwww.applovin.com&esheet=54549558&newsitemid=20260608414458&lan=en-US&anchor=AppLovin&index=3&md5=a4ac8b1dcb8b5502d0154df68e322df6" target="_blank">AppLovin</a> makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: <a href="http://www.applovin.com" target="_blank">www.applovin.com</a>.</p> <p><span style="font-weight: 400;">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.</span></p></div><p><span style="color:#1d1c1d">At AppLovin, AI isn't a feature — it's the foundation. We are building a next-generation global content platform that uses intelligent recommendation, personalisation, and content understanding to help people discover experiences that genuinely matter to them. Backed by AppLovin's world-class AI capabilities and global infrastructure, our ML team is working on some of the most technically interesting problems in the recommendation and content space — at a scale few startups ever reach.<br>For Summer 2027, we're looking for Machine Learning Engineer Interns who want to work on real ML systems, not toy datasets. You'll contribute to production pipelines across areas like content recommendation, ranking, user modelling, and content quality — depending on where you're placed and where you can make the most impact.<br><br><b>About Gist</b><br>Gist is a new social media platform for people who want substance — practical, thoughtful content that spans philosophy debates, city-specific recommendations, seasonal gift guides, and wellness tips. Across categories like travel, food, career, and family, we describe it as "a handbook for the curious."<br>Gist is built by AppLovin Corporation — a company that hit $5.3B in revenue last year and sits alongside Google and Meta as one of the world's leading ad tech platforms. 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).<br><br><b>About the Team</b><br>Our ML team owns the intelligence layer of the platform — the systems that decide what content a user sees, how it's ranked, how new users and new content are onboarded, and how we balance engagement, retention, and ecosystem health over time. It's a highly cross-functional team: you'll work alongside product managers, backend engineers, and data analysts to turn model improvements into measurable business outcomes. As an intern, you'll be embedded in a specific ML workstream with a senior engineer mentor and a project scoped for real production impact.</span></p><p><span style="color:#1d1c1d"><br><b>What You'll Do</b></span></p><ul><li style="color:#1d1c1d !important"><span style="color:#1d1c1d">Contribute to the development and evaluation of ML models within a defined area — recommendation, ranking, content understanding, or user behaviour modelling.</span></li><li style="color:#1d1c1d !important"><span style="color:#1d1c1d">Own a focused internship project end-to-end: problem framing, feature engineering, model train

Job Reference ID: CF-153982 • Posted on CloudFrame Job Scanner