Machine Learning Engineer - Video Recommendation-Social - Singapore

TIKTOK PTE. LTD.; Singapore; On-site; SGD 125,000 - 150,000; Full time

Job summary

A leading social media platform in Singapore seeks an experienced algorithm developer to create innovative social recommendation systems. The ideal candidate holds a master's degree in Computer Science with significant experience in machine learning and software development. You will work with product and operations teams to enhance user experience and foster a healthy ecosystem. This role demands strong analytical skills and a passion for addressing technological challenges.

Qualifications

• PhD holders: at least 1 year of relevant work experience.
• 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 general-purpose programming languages.

Responsibilities

• Design and develop social recommendation algorithms.
• Integrate machine learning techniques with various business scenarios.
• Collaborate closely with product and operations teams.
• Research next-generation social recommendation models.

Skills

Machine learning

Recommendation systems

Data mining

Python

Java

C++

Strong communication

Teamwork

Education

Master's degree or higher in Computer Science or related field

Job description

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

• Relevant work experience in social recommendation at a major internet company.
• Experience with large-scale distributed systems, GNNs, or sequence modeling.