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

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@2026 Tik Tok

Algorithm

Location:

San Jose

Employment Type:

Intern

Job Code:

A259460A

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• Develop and optimize LLM/MLLM, Agent, NLP, CV, and recommendation models to improve Tik Tok’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 Tensor Flow, 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.

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 Tik Tok 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.

Qualifications

• PhD in Computer Science, Machine Learning, AI, or a related field.
• Able to commit to working for 12 weeks during the Summer of 2027.
• Strong programming skills in Python, C++, or similar languages.
• Hands-on experience with deep learning frameworks such as Tensor Flow or PyTorch.
• Solid understanding of machine learning fundamentals and the modern AI stack.
• Strong proficiency in integrating AI tools into knowledge discovery and research workflows.

• Experience with distributed computing and optimizing AI models for real-world applications.
• Ability to apply machine learning techniques to enhance business and user experiences.
• Deep knowledge of agent architectures, including planning, tool use (e.g., Lang Chain, Llama Index), skills, and memory systems.
• Publications in top AI/ML conferences (NeurIPS, ICML, CVPR, ACL, etc.) or strong contributions to open-source AI projects.
• Excellent communication skills to collaborate across teams.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here:

The hourly rate range for this position in the selected city is $60- $60.

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: