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: 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.

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

AppLovin has become aware of a scam targeting jobseekers with fake app optimization and similar roles. We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions.

AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at [HIDDEN TEXT].

AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in California, learn more here.

To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.

Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.

Machine Learning Engineer – Feed Recommendation