AppLovin 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.
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
- 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
- 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
- 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
What We Do
AppLovin is focused on enabling companies around the world to bring their ideas, products and content to more people - at massive global scale. When more of the right content connects with the right audience, growth is accelerated and industries expand. AppLovin creates this connection through its market leading technologies.
Why Work With Us
At our core, we are innovators focused on driving businesses forward with the most advanced technology that connects companies to their customers. We encourage our employees to take risks while constantly learning and optimizing through data-driven decisions. Join our team if you love taking initiative, ownership and driving success.
Gallery
.jpeg)
