Machine Learning Engineer – Feed Recommendation
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
About AppLovin
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: .
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 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 Youll 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
- 35 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
Required Experience:
IC
Key Skills
About Company
AppLovin connects you to audiences in-app, on mobile devices, across streaming TV, and beyond. Our advanced suite of solutions for app monetization and user acquisition drives growth and maximizes revenue for publishers and advertisers globally. Grow your business with AppLovin.
