Machine Learning Scientist Intern (TikTok - Content Ecology - LLM application) - 2027 Start (PhD)

Algorithm

Machine Learning Scientist Intern (TikTok - Content Ecology - LLM application) - 2027 Start (PhD)

Location

:

San Jose

Employment Type

:

Intern

Job Code

:

A259460A

Responsibilities

About the team

The Content Ecology team builds next-generation AI products and scalable platform capabilities that power how content is created, understood, discovered, and governed across TikTok globally. Leveraging cutting-edge technologies such as LLMs/MLLMs, multimodal learning, and Agentic AI, the team addresses complex, high-impact challenges across Local Services, Search, Short Drama, Creator Assistance, and AIGC. By uniting frontier AI research with product innovation, our team drives scalable solutions that elevate experiences for users, creators, and merchants worldwide.

We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.

Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.

Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).

Responsibilities

• Develop and optimize LLM/MLLM, Agent, NLP, CV, and recommendation models to improve TikTok’s content ecosystem.
• Design, build, and optimize advanced Agentic AI frameworks, focusing on core components like planning, tool use, skills, and memory.
• Implement multimodal AI solutions, integrating video, text, and speech understanding.
• Train and fine-tune deep learning models using TensorFlow, PyTorch, or other ML frameworks.
• Deploy and scale machine learning solutions in a d