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.

Why Join Us
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. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

About the Team
We are a pioneering Machine Learning team at TikTok, committed to spearheading innovation in leveraging cutting-edge technologies in foundation models to enhance TikTok's experience, an avenue that our organization sees as a very promising future direction. Our team culture cherishes the "First Principles Thinking" approach, and we deeply value understanding things at their core and focusing on delivering solid, well-grounded solutions.

What you'll do:
- Understand and optimize TikTok's industry-leading recommendation system
- Deploy, prompt, and fine-tune cutting-edge foundation models
- Apply foundation models to enhance TikTok's recommendation system and product offerings, improving the experience of billion-scale consumers and creators
- Collaborate with cross-functional teams, including product managers, data scientists, and product engineers, to form and solve problems, refine machine learning algorithms, and communicate results
- Regularly run A/B tests, perform analyses, and iterate algorithms based on results
- Work with infrastructure teams on improving the efficiency and stability of machine learning systems

Location

San Jose, California, United States

Job Overview
Job Posted:
1 day ago
Job Expires:
Job Type
Full Time

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