Machine Learning Engineer Project Intern (Recommendation) - 2027 Start
Summary
Internship on TikTok's data team in Singapore, building machine learning models and strategies for the recommendation system: scalable classifiers, content-consumption optimization, content-audit ML, and cross-functional work for regional markets. Core tech is ML/recommendation systems and hands-on coding.
About the TikTok Data Team Our TikTok team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity, build a fair and flourishing ecosystem. As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment.
This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests. Applications are reviewed on a rolling basis, so we encourage you to apply early. Responsibilities
- Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning;
- Understand product objectives and machine learning techniques; improve model and recommendation strategy;
- Understand user behavior and apply ML algorithms to optimize content consumption and production experience;
- Understand content security strategy and apply ML algorithms to improve content audit process;
- Work with cross functional teams to grow company's product in important regional markets.
Minimum Qualifications:
- Individuals who are pursuing Bachelor's degree in computer science or a related discipline.
- Solid experience with data structures or algorithms
- Software development experience through hands on coding in a general purpose programming language
- Strong communication and teamwork skills
- Passion about technologies and solving challenging problems
Preferred Qualification:
- Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas