Machine Learning Engineer - Video Recommendation-Social - Singapore - TIKTOK PTE. LTD.

Roles & Responsibilities

Responsibilities

1. Design and develop TikTok’s social recommendation algorithms, building an industry-leading recommendation system to deliver a world-class user experience.

2. Integrate machine learning techniques with various business scenarios (content consumption, social interaction, notifications, following, etc.) to optimize models and strategies, continuously improving recommendation performance.

3. Collaborate closely with product and operations teams to deeply understand user and creator behaviors, and develop targeted algorithm strategies to foster a healthy ecosystem.

4. Research next-generation social recommendation models based on Graph Neural Networks (GNNs) and full-lifecycle user sequence modeling.

Qualifications

Minimum Qualifications

• Master’s degree or higher in Computer Science or a related technical discipline.
• For PhD holders : at least 1 year of relevant work experience.
• For Master’s degree holders : at least 4 years of relevant work experience.
• Solid understanding of data structures and algorithms.
• Hands-on software development experience in one or more general-purpose programming languages (e.g., Python, Java, C++).
• Experience in one or more of the following areas : machine learning, recommendation systems, data mining, or related fields.
• Strong communication and teamwork skills.
• Passion for technology and solving challenging problems.

Preferred Qualifications

Tell employers what skills you have

TensorFlow

Machine Learning

MongoDB

Modeling

Data Structures

User Experience

Data Mining

PyTorch

Distributed Systems

Python

Writing

Data Science

Java

Debugging

Teamwork Skills

Software Development