Algorithm Engineer 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, a leading destination for short-form mobile video. The company’s mission is to inspire creativity and bring joy to everyone in the world. This role contributes to the core mission by protecting the platform and users from content and behaviors that violate community guidelines and regulations. The work focuses on developing advanced content understanding models and optimizing training frameworks to ensure a positive user experience.

The TL;DR
• Role: Internship
• Type: Temporary
• Location: In-person, Los Angeles, CA
• Pay: $60 hourly
• Team: Algorithm team, responsible for computer vision, NLP, and multimodality models and algorithms.
• Mission: Develop cutting-edge content understanding models and optimize training frameworks to protect TikTok’s platform and users from violating content.
• Tech Stack: PyTorch, TensorFlow, CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous, LLM

What You’ll Actually Do
• Develop: Create computer vision or multimodality models to recognize violating content within TikTok’s platform.
• Explore: Investigate cutting-edge multimodal or computer vision large models, such as CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, or EVA-enormous.
• Apply: Discover applications of Large Language Models (LLM) in business scenarios, including pre-training, zero-shot/few-shot learning, and hard case mining.
• Optimize: Continuously improve the existing training framework to better adapt to the demands of training large models.

The Must-Haves
• Background: Doctorate Degree. 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: Proficient with at least one deep learning framework (e.g., PyTorch, TensorFlow), excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills.
• Bonus: Published papers in top AI conferences or journals (e.g., CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV).