Research Scientist Intern: Moderation & Scalable ML

TikTok; San Jose (CA); On-site; USD 51,000 - 73,000; Part time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

Housing allowance

10 paid holidays per year

Paid sick time

Job summary

TikTok is seeking a machine learning intern to help build and improve a next-generation moderation system. You will contribute to scalable ML models, interpretability, and end-to-end moderation capabilities for better user experience and advertiser value.

The role emphasizes strong research output, Python proficiency, and experience with DL frameworks. The internship involves cross-functional collaboration and growth opportunities within a fast-moving tech company.

Qualifications

• Pursuing a Master's degree in Computer Science, Software Engineering, Electronic Engineering, Automation, Mathematics, Statistics, or a related technical discipline (completed, or expecting to graduate within 12 months). Exceptional Bachelor’s candidates with strong research output will also be considered.
• Strong Python and a deep learning framework such as PyTorch or TensorFlow.

Responsibilities

• In this internship role, you will help build a leading moderation system enabling end-to-end capabilities for accurate rejection decisions and interpretable reasoning.
• Assist across teams to advance a next-generation content understanding system for TikTok monetization.
• Translate research findings into practical, production-ready components that improve user experience and advertiser value.

Skills

Python

Machine learning

Research experience

Communication

Team collaboration

Education

Master's (CS/related) pursuing or 12 mo to graduate

Tools

PyTorch

TensorFlow

Job description

TikTok is seeking a machine learning intern to help build and improve a next-generation moderation system. You will contribute to scalable ML models, interpretability, and end-to-end moderation capabilities for better user experience and advertiser value.

The role emphasizes strong research output, Python proficiency, and experience with DL frameworks. The internship involves cross-functional collaboration and growth opportunities within a fast-moving tech company.