PhD ML Scientist Intern - Recommendation Systems

TikTok; San Jose (CA); On-site; USD 68,000 - 97,000; Part time

Benefits offered by this job

Health insurance

10 paid holidays

Housing allowance

Job summary

TikTok is seeking a Machine Learning Scientist Intern (TikTok-Recommendation) for a 2027 start in San Jose. The role targets PhD candidates with strong ML research background and experience with DL frameworks like PyTorch or TensorFlow.

You will work on developing industry-leading recommendation systems, tackling product challenges related to content understanding, LLMs, robustness, and fairness. Interns gain hands-on experience and cross-functional collaboration.

Qualifications

• PhD candidate in computer science or ML.
• Solid understanding of theory and empirical research in ML problems.
• Experience with DL frameworks such as PyTorch or TensorFlow.

Responsibilities

• Drive development of recommendation systems and models for TikTok's platform.
• Deliver end-to-end ML solutions addressing content understanding, robustness, and fairness.
• Own the full ML pipeline from algorithm design to system deployment.
• Collaborate with cross-functional teams to shape product strategies and growth.

Skills

Research ability

Strong publications

Python

Shell scripting

Education

PhD candidate in CS/ML

Tools

PyTorch

TensorFlow

C/C++

Job description

TikTok is seeking a Machine Learning Scientist Intern (TikTok-Recommendation) for a 2027 start in San Jose. The role targets PhD candidates with strong ML research background and experience with DL frameworks like PyTorch or TensorFlow.

You will work on developing industry-leading recommendation systems, tackling product challenges related to content understanding, LLMs, robustness, and fairness. Interns gain hands-on experience and cross-functional collaboration.