Graduate Research Scientist: CV/NLP/Multimodal LLM

TikTok Inc.

San Jose (CA)

On-site

USD 162,000 - 317,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
401(k) with company match
Paid parental leave
Disability coverage
Wellbeing benefits
Paid holidays and personal time

Job summary

TikTok Inc. in the United States seeks graduates and researchers to join the algorithm team in 2026.

You will help develop state-of-the-art computer vision, NLP and multimodality models to protect our platform and users while advancing models and training frameworks for large-scale content understanding. Ideal candidates hold a PhD in a related field, have research experience in CV/multimodality/LLMs, and are proficient with PyTorch or TensorFlow.

Qualifications

  • PhD in Computer Science, Computer Engineering, Software Development or related field.
  • Research experience in computer vision, multimodality, or LLM.

Responsibilities

  • Develop computer vision or multimodality models to recognize violation content in TikTok.
  • Explore cutting-edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous).
  • Explore the application of LLMs in business scenarios (pre-training, zero-shot/few-shot learning, hard case mining).
  • Continuously optimize the training framework to better adapt to training of large models.

Skills

PhD in CS/CE/Software
Deep learning research
CV multimodality knowledge

Education

PhD in Computer Science/Computer Engineering/Software Development

Tools

PyTorch
TensorFlow

Job description

TikTok Inc. in the United States seeks graduates and researchers to join the algorithm team in 2026.

You will help develop state-of-the-art computer vision, NLP and multimodality models to protect our platform and users while advancing models and training frameworks for large-scale content understanding. Ideal candidates hold a PhD in a related field, have research experience in CV/multimodality/LLMs, and are proficient with PyTorch or TensorFlow.

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