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. Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth.
The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact.
The team is fast-pacing, collaborative and impact-driven. We are looking for strong research scientist 2025 Graduates , who are excited about growing their business understanding, building scalable and high-performance models and systems, and partnering across disciplines with global teams, in pursuit of excellence.
Responsibilities 1. Build industry-leading recommendation system, improving user experience, content ecosystem and platform security;
2. Deliver end-to-end machine learning solution to address critical product challenges;3. Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.
4. Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.
Minimum Qualifications : 1. PhD degree or equivalent degree with a background in computer science, machine learning, or similar fields.
2. Good knowledge of theoretical and empirical research in addressing research problems3. Solid knowledge and experience with at least one popular deep learning framework (.
PyTorch,TensorFlow) and familiarity with deep neural network architectures Preferred Qualifications : 1. Research experience in one or more of the following fields : applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product.
2. Strong first-author publications record in top AI conferences or journals(., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL 3.
Proficient in C / C++, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design.
4. Internship experience in an AI research organization
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