TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo?Never. Courage? Always. At TikTok, we create together and grow together. Join us.
We are now looking for talented individuals to join us in 2024 - people who want to inspire creativity and co-create the future with TikTok. Internships at TikTok aim to provide students the chance to work with our clients and teams to address key business problems and identify areas of growth for the company. With your education and experience, you will be able to take on real-world challenges from day one.
This role sits within our TikTok recommendation team. The team is responsible for developing state-of-the-art Machine Learning models and strategies to improve user consumption experience, inspire creativity and build a fair and flourishing ecosystem.
Within this role, you will:
- Build industry-leading recommendation systems, improving user experience, content ecosystem and platform security
- Develop state-of-the-art Machine Learning models to solve problems at TikTok scale
- Systematically develop product strategy with strong analytical and impact-driven mindset
- Work with TikTok cross functional teams to grow TikTok in important regional markets
- Currently in your penultimate year pursuing a bachelors degree or in your final year going on to study a Masters, graduating in 2025
- Studying computer science, engineering or a related technical discipline
- Available from June for at least 12 weeks
- Interest in at least one of the following areas: Machine Learning, data mining, algorithms
- Great communication and teamwork skills
- Passionate about techniques and solving challenging problems