Research Scientist Intern (Trust and Safety - CV/NLP/Multimodal LLM) - 2027 Start (PhD)
TikTok · San Jose, CA · 1 mo ago
OTHR$60/hrInternship
About the role
Join our algorithm team as a PhD intern and contribute to developing state-of-the-art computer vision, NLP, and multimodality models. Your work will help protect our platform and users by identifying content and behaviors that violate community guidelines and regulations, ensuring TikTok provides the best user experience and brings joy to users worldwide.
This internship offers hands-on learning, collaboration with industry experts, and professional development opportunities while actively contributing to our products and future technologies.
Responsibilities
- Develop computer vision or multimodality models to recognize violating content on TikTok.
- Explore cutting-edge multimodal or computer vision large models (e.g., CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous).
- Explore the application of large language models (LLM) in business scenarios, such as pre-training, zero-shot/few-shot learning, and hard case mining.
- Continuously optimize the training framework to better adapt to the training of large models.
Requirements
Minimum Qualifications
- PhD candidate in computer science or a related technical discipline.
- Research experience in at least one of the following areas: computer vision, multimodality, or large language models (LLM).
- Proficiency with at least one deep learning framework (e.g., PyTorch, TensorFlow).
- Excellent analytical, problem-solving, logical thinking, communication, and collaboration skills.
Preferred Qualifications
- Published papers in top AI conferences or journals (e.g., CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV) is a plus.
Benefits
- Day-one access to health insurance, life insurance, and wellbeing benefits.
- 10 paid holidays per year and paid sick time (56 hours if hired in the first half of the year, 40 if hired in the second half).
- Eligibility for housing allowance (for interns not working 100% remotely).
Pay
The hourly rate for this internship position is $60.