Research Scientist Graduate (CV/NLP/Multimodal LLM - Trust and Safety) - 2025 Start (PhD)

San Jose, California, United States

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The algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.

We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok, and will also be responsible for optimizing our distributed model training framework continuously.

Responsibilities
1. Develop computer vision model or multimodality model to recognize violation content in TikTok
2. Explore cutting-edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous, etc)
3. Explore the application of LLM in our business scenarios, like pre-training, zero-shot/ few-shot learning, hard case mining, etc
4. Continuously optimize the training framework to better adapt to the training of large models
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Computer Vision LLMs Model training NLP PhD Research

Perks/benefits: Career development

Region: North America
Country: United States

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