ML Scientist Intern: LLMs, Multimodal & Agentic AI

TikTok; San Jose (CA); Vor Ort; USD 68.000 - 97.000; Vollzeit

Benefits dieser Stelle

Health insurance

Housing allowance

Paid holidays

Zusammenfassung

TikTok invites PhD interns to join the Content Ecology team for a 12-week summer research program. You will develop, optimize, and deploy cutting-edge AI models and Agentic AI frameworks across multimodal data, collaborating with researchers and engineers to advance content understanding and governance.

You will work on planning, tool use, skills, and memory systems, with hands-on experience in TensorFlow, PyTorch, LangChain, and LlamaIndex, contributing to real-world applications and

Qualifikationen

• 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 TensorFlow 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.

Aufgaben

• 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 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 distributed computing environment.
• Work closely with AI researchers, software engineers, and business teams to apply AI technologies effectively.

Kenntnisse

Python

C++

Deep learning

TensorFlow

PyTorch

Knowledge discovery

Research workflows

Multimodal AI

Ausbildung

PhD in Computer Science/ML/AI

Tools

TensorFlow

PyTorch

LangChain

LlamaIndex

Jobbeschreibung

TikTok invites PhD interns to join the Content Ecology team for a 12-week summer research program. You will develop, optimize, and deploy cutting-edge AI models and Agentic AI frameworks across multimodal data, collaborating with researchers and engineers to advance content understanding and governance.

You will work on planning, tool use, skills, and memory systems, with hands-on experience in TensorFlow, PyTorch, LangChain, and LlamaIndex, contributing to real-world applications and