Machine Learning Engineer
3 weeks ago
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.
- 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.
- Relevant work experience in social recommendation at a major internet company.
- Experience with large-scale distributed systems, GNNs, or sequence modeling.
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