PhD Research Scientist Intern: Generative RS & LLMs

TikTok Inc.; San Jose (CA); On-site; USD 55,000 - 69,000; Full time

Job summary

TikTok Inc. invites PhD students to join the US Core Recommendation Team as interns to advance personalized content discovery through cutting-edge research and large-scale systems.

You will work on generative recommendations, ultra-long sequence modeling, and multimodal integration, with opportunities to publish and impact hundreds of millions of US users. The program favors candidates who can commit to 12 weeks and collaborate with engineers, researchers, and PMs to translate ideas into

Qualifications

• Pursuing a PhD in CS/EE/Stats with focus on recommender systems.
• Strong theoretical foundation and hands-on research experience.
• Proficiency in Python and ML frameworks (PyTorch or TensorFlow).
• Solid foundation in data structures, algorithms, and analytical skills.

Responsibilities

• Conduct in-depth research and development in novel recommendation directions, designing and implementing algorithms to improve performance.
• Analyze large-scale user and content data to gain insights and drive model improvements.
• Participate in deployment and evaluation of systems in real-world scenarios, ensuring practical effectiveness.
• Collaborate with infrastructure engineers, PMO, and researchers to build advanced systems improving relevance and engagement.

Skills

Python

PyTorch

TensorFlow

Theoretical foundations

Research experience

Problem solving

Education

PhD in Computer Science, Electrical Engineering, Statistics, or related field

Job description

TikTok Inc. invites PhD students to join the US Core Recommendation Team as interns to advance personalized content discovery through cutting-edge research and large-scale systems.

You will work on generative recommendations, ultra-long sequence modeling, and multimodal integration, with opportunities to publish and impact hundreds of millions of US users. The program favors candidates who can commit to 12 weeks and collaborate with engineers, researchers, and PMs to translate ideas into