Trust and Safety Algorithm PhD Intern – Computer Vision, NLP, Multimodality

Job Description

Research Scientist Intern- (Trust and Safety – CV/NLP/Multimodal LLM) – 2026 Start(PhD) | TikTok

The Tone:
This is a PhD internship at TikTok, located in a selected city, potentially Los Angeles County. TikTok’s mission is to inspire creativity and bring joy by providing a leading destination for short-form mobile video. This role is crucial for developing advanced models and algorithms within the Trust and Safety team, which protects the platform and users from content that violates community guidelines. The internship offers an opportunity to contribute to emerging technologies and the organization’s future plans.

The TL;DR
• Role: PhD Internship
• Location: In a selected city, potentially Los Angeles County
• Pay: $57 hourly
• Team: Trust and Safety algorithm team
• Mission: Develop state-of-the-art computer vision, NLP, and multimodality models and algorithms to protect the platform and users from content and behaviors that violate community guidelines.
• Tech Stack: PyTorch, TensorFlow, CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous

What You’ll Actually Do
• Model Development: Develop computer vision or multimodality models to accurately recognize violating content on TikTok.
• Model Exploration: Explore cutting-edge multimodal or computer vision large models such as CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, and EVA-enormous.
• LLM Application: Explore the application of Large Language Models (LLM) in business scenarios, including pre-training, zero-shot/few-shot learning, and hard case mining.
• Framework Optimization: Continuously optimize the training framework to better adapt to the training requirements of large models.

The Must-Haves
• Background: PhD candidate in computer science or a related technical discipline.
• Experience: Related research experience in at least one of the following areas: computer vision, multimodality, or LLM.
• Skills: Proficiency with at least one deep learning framework (e.g., PyTorch, TensorFlow); excellent analytical, problem-solving, logical thinking, communication, and collaboration skills.
• Bonus: Published papers in top AI conferences or journals, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV.