Machine Learning Engineer - Video Recommendation-Photo Mode - Singapore

TIKTOK PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading social media company is seeking an experienced algorithm developer to design and improve social recommendation systems. The role demands a Masters degree in Computer Science and strong experience in machine learning and software development. You will collaborate closely with product teams and leverage advanced techniques to optimize user experiences. This position offers a dynamic work environment in Singapore.

Qualifications

• Masters degree or higher in Computer Science or a related technical discipline.
• At least 4 years of relevant work experience for Masters holders.
• Solid understanding of data structures and algorithms.
• Hands-on software development experience in programming languages.
• Experience in machine learning or related fields.

Responsibilities

• Design and develop social recommendation algorithms.
• Integrate machine learning techniques into business scenarios.
• Collaborate with product teams to understand user behaviors.
• Research next-generation recommendation models.

Skills

Machine learning

Data structures and algorithms

Software development

Teamwork

Communication

Education

Masters degree in Computer Science or related field

Tools

Python

Java

C++

Job description

Responsibilities

• Design and develop TikTok’s social recommendation algorithms, building an industry-leading recommendation system to deliver a world-class user experience.
• Integrate machine learning techniques with various business scenarios (content consumption, social interaction, notifications, following, etc.) to optimize models and strategies, continuously improving recommendation performance.
• Collaborate closely with product and operations teams to deeply understand user and creator behaviors, and develop targeted algorithm strategies to foster a healthy ecosystem.
• Research next-generation social recommendation models based on Graph Neural Networks (GNNs) and full-lifecycle user sequence modeling.

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.