Lead ML Engineer - User Growth & Recommendations (Singapore)

TikTok; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

TikTok in Singapore is seeking a Lead Machine Learning Engineer for User Growth and Recommendation to design and scale models that optimize user retention across diverse scenarios.

Lead cross‑functional teams, deliver end‑to‑end ML solutions from data to deployment, mentor peers, and drive growth targets with strong Python/C++ expertise and deep learning know‑how. Master’s degree and 4+ years experience required.

Qualifications

• Master's degree in computer science, ML, or related field.
• Experience leading projects and collaborating across time zones.
• 4+ years hands-on experience in recommendation systems, ML, DL, LLMs, CV, NLP, or causal inference.

Responsibilities

• Develop large-scale ML algorithms and recommendation systems to optimize user retention.
• Data-driven: connect data to user experiences with strong analytical skills.
• Deliver end-to-end ML solutions across diverse scenarios and growth targets.
• Collaborate with product managers, data scientists, and engineers to design and test ML strategies.

Skills

Python

C/C++

Machine learning

Deep learning

NLP

Education

Master's degree in Computer Science or related fields

Tools

ML framework

Job description

TikTok in Singapore is seeking a Lead Machine Learning Engineer for User Growth and Recommendation to design and scale models that optimize user retention across diverse scenarios.

Lead cross‑functional teams, deliver end‑to‑end ML solutions from data to deployment, mentor peers, and drive growth targets with strong Python/C++ expertise and deep learning know‑how. Master’s degree and 4+ years experience required.