Machine Learning Engineer, Feed Recommendation
Real job — pulled straight from AppLovin’s careers page · Verified July 6, 2026 · No reposts.
Job description
AppLovin is hiring a Machine Learning Engineer, Feed Recommendation — a full-time, based in Singapore role. Apply directly on AppLovin's careers page below.
Machine Learning Engineer – Feed Recommendation
Location: Singapore
Department: Platform Engineering
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.
【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 models
- Improve multi-objective ranking strategies (retention, monetization, diversity, long-term value)
- Tackle cold-start challenges for new users and new content
- Run offline experiments and online A/B testing to drive measurable gains
- Collaborate closely with product, engineering, and monetization teams
- Continuously iterate on model performance, latency, and system reliability
【The Impact You’ll Make】
- Improve user retention through intelligent content recommendation
- Drive measurable lift in engagement and monetization metrics
- Build core ranking mechanics beyond incremental model tuning
- Shape the foundation of a scalable, long-term content ecosystem
【Who You Are】
- 3–5 years of experience building production-grade ML systems
- Strong hands-on experience in recommendation systems
- Experience in one or more:
- Recall systems / candidate generation
- Ranking models
- CTR prediction
- Multi-task or multi-objective optimization
- Proficient in Python and ML frameworks (PyTorch, TensorFlow, etc.)
- Strong software engineering fundamentals
- Experience with large-scale data systems and distributed training is a plus
- Experience improving retention or long-term user value is highly valued
【Why Join This Venture】
- Build 0-to-1 systems inside a proven AI powerhouse
- High ownership and direct business impact
- Startup speed with AppLovin-level scale and resources
- Opportunity to shape a new growth engine for the company
Get Machine Learning Engineer jobs like this→
New roles from thousands of companies land hourly, straight from their careers pages. Get the freshest matches by email so you never miss one.
Email me new jobsSimilar jobs
Frequently asked questions
What skills are required for Machine Learning Engineer, Feed Recommendation at AppLovin?
The required skills for Machine Learning Engineer, Feed Recommendation at AppLovin include: Python, PyTorch, TensorFlow, Machine Learning, Data Engineering.
What is the seniority level for Machine Learning Engineer, Feed Recommendation at AppLovin?
Machine Learning Engineer, Feed Recommendation at AppLovin is a Mid Level / Senior level position.
How do I apply for Machine Learning Engineer, Feed Recommendation at AppLovin?
You can view the full description and apply for Machine Learning Engineer, Feed Recommendation at AppLovin on EchoJobs: https://echojobs.io/job/applovin-machine-learning-engineer-feed-recommendation-dw1t1.