Machine Learning Engineer – Feed Recommendation

About 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, driving retention, engagement and ecosystem growth.

Key responsibilities

• Design and deploy scalable recommendation pipelines.
• Develop and optimize CTR/CVR prediction models.
• Improve multi‑objective ranking strategies such as retention, monetization, diversity and 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.

Required profile

• 3–5 years of experience building production‑grade ML systems.
• Strong hands‑on experience in recommendation systems, including recall, ranking or CTR prediction.
• Experience improving retention or long‑term user value is highly valued.

Required skills

• Proficient in Python.
• Experience with ML frameworks such as PyTorch or TensorFlow.
• Strong software engineering fundamentals.
• Familiarity with large‑scale data systems and distributed training (a plus).

What we offer

• 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.