Machine Learning Engineer – Feed Recommendation

【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