# Machine Learning Engineering Intern (2027 Summer Internship)

[AppLovin](https://www.jorb.ai/firms/applovin.md) · Singapore · [Machine Learning Engineering](https://www.jorb.ai/jobs/machine-learning-engineering.md)

AppLovin is hiring a Machine Learning Engineering Intern (2027 Summer Internship) in Singapore. Posted 2026-09-15; applications close 2026-11-14.

**Apply**: https://boards.greenhouse.io/applovin/jobs/4713038006?gh_jid=4713038006

Posted 4d ago.

## Role details

## About AppLovin

AppLovin 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 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.

## About the Role

At AppLovin, AI isn’t a feature—it’s the foundation. We are building a next-generation global content platform that uses intelligent recommendation, personalization, 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 technically interesting problems in recommendation and content at a scale few startups ever reach. For Summer 2027, we are looking for Machine Learning Engineer Interns who want to work on real ML systems, not toy datasets.

You will contribute to production pipelines across areas like content recommendation, ranking, user modeling, and content quality—depending on where you are placed and where you can make the most impact.

## About Gist

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.”

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).

## About the Team

Our ML team owns the intelligence layer of the platform—the systems that decide what content a user sees, how it is ranked, how new users and new content are onboarded, and how we balance engagement, retention, and ecosystem health over time. You will work alongside product managers, backend engineers, and data analysts to turn model improvements into measurable business outcomes.

As an intern, you will be embedded in a specific ML workstream with a senior engineer mentor and a project scoped for real production impact.

## What You’ll Do

  
- Contribute to the development and evaluation of ML models within a defined area: recommendation, ranking, content understanding, or user behavior modeling.
  
- Own a focused internship project end-to-end: problem framing, feature engineering, model training, offline evaluation, and—where possible—online experimentation.
  
- Run experiments and analyze results to form a clear, data-backed view of what is working and why.
  
- Collaborate with engineers and product managers to understand system constraints and translate model improvements into production-ready solutions.
  
- Participate in team discussions on model architecture, system design, and metric trade-offs.

## Requirements

  
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
  
- Solid foundation in machine learning concepts: supervised learning, model evaluation, optimization, and the trade-offs between different modeling approaches.
  
- Proficiency in Python and familiarity with at least one ML framework such as PyTorch or TensorFlow.
  
- Comfortable working with data: feature engineering, exploratory analysis, and interpreting experimental results.
  
- Strong software engineering fundamentals: clean code, version control, and the ability to collaborate on a shared codebase.
  
- Curious, rigorous, and honest about what the data is actually telling you.

## Good To Have

  
- Any project or coursework experience applying ML to real data (e.g., Kaggle competitions, research projects, course capstones).
  
- Exposure to recommendation systems, ranking, or personalization concepts—even from an academic or reading background.
  
- Familiarity with large-scale data tools such as Spark, Hive, or cloud ML platforms.
  
- Understanding of A/B testing and statistical significance in an experimentation context.
  
- Interest in content platforms, social products, or AI-driven discovery systems.

## Applying to this role

This Machine Learning Engineering Intern (2027 Summer Internship) role at AppLovin runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.

[Tailor this application](https://www.jorb.ai/signup?ref=job-atom&firm=applovin&job=6aa8c36a88badc00eae6e372)

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Updated: 2026-09-19
Canonical: https://www.jorb.ai/jobs/6aa8c36a88badc00eae6e372
