TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy.
TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join UsCreation 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.
That's how we drive impact - for ourselves, our company, and the communities we serve. Join us. Our team is responsible for providing TikTok search users with first-class search experience by building a strong and robust infrastructure and platform to support product fast iteration and key feature development.
In our team, you'll have the opportunity to take part in developing the key features on TikTok Search, understand how TikTok Search could be evolved to be a multi-billion-user product and first-handed experience how user request varies on this giant from time to time.
We also build a search inspiration recommendation system for creators, providing them with insights based on real users' search queries.
This key capability enriches both the quality and quantity of TikTok's search content ecology and enhances users' search experiences.
We promote a culture of self-driven innovation, intellectual curiosity, openness, and problem-solving. Responsibilities
- Support business development of TikTok Search, provide the best search experience for TikTok users and further enable content growth.
- Leverage modern machine learning, LLM and recommendation / search / ads experience to improve search products.
- Build search inspiration recommendation system, and develop algorithms to improve recommendation quality.
Minimum Qualifications
- Hands-on experience of leading the development of one or more of Search, Recommendation, Ads, NLP, LLM and large-scale distributed systems.
- Proficiency in one or more programming languages, including Python, C / C++, Golang, Java or Scala. Preferred Qualifications
- Bachelor's or advanced degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- 2 years of machine learning related industry experience
- Experience in search / recommendation / ads and machine learning systems. Ability to apply machine learning algorithms to real business products and drive business growth.
- Enthusiastic about building a product from scratch or keeping iterating a product.
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