Machine Learning Scientist Intern (TikTok-Content Ecology—LLM application) - 2026 Start (PhD)

Responsibilities

• Develop and optimize LLM, NLP, CV, and recommendation models to improve TikTok’s content ecosystem.
• Implement multimodal AI solutions, integrating video, text, and speech understanding.
• Optimize LLM-powered search, discovery, and content recommendation systems for better user engagement.
• Train and fine-tune deep learning models using TensorFlow, PyTorch, or other ML frameworks.
• Deploy and scale machine learning solutions in a distributed computing environment.
• Work closely with AI researchers, software engineers, and business teams to apply AI technologies effectively.

Qualifications

• PhD in Computer Science, Machine Learning, AI, or a related field.
• Strong programming skills in Python, C++, or similar languages.
• Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
• Solid understanding of machine learning, NLP, CV, or recommendation algorithms.

Preferred Qualifications

• Experience with distributed computing and optimizing AI models for real-world applications.
• Ability to apply machine learning techniques to enhance business and user experiences.
• Publishations in top AI/ML conferences (NeurIPS, ICML, CVPR, ACL, etc.) or strong contributions to open-source AI projects.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.