Monetization AI Research Engineer Intern (PhD)

TikTok; San Jose, Northern (CA, KY); Hybrid; USD 68,000 - 97,000; Part time

Benefits offered by this job

Health insurance

Wellbeing benefits

10 paid holidays per year

Housing allowance

Job summary

TikTok is seeking a Research Engineer Intern (Monetization Technology - Business Integrity) in San Jose for a 2027 start. You will contribute to building scalable moderation systems and ML models that improve advertiser value and user experience.

The role emphasizes hands-on ML research, collaboration with global teams, and exposure to production-level models and data pipelines. Intern benefits are included.

Qualifications

• PhD student or candidate in a relevant technical discipline (CS/SE/EE/Math) with expected graduation within 12 months.
• Hands-on experience with ML models in Ads/Search/Recommenders/NLP/CV or Multimodal.
• Familiarity with large language models: pre-training, fine-tuning, prompting, inference.
• Strong Python and deep learning framework skills; solid software engineering fundamentals.

Responsibilities

• Build a leading moderation system for end-to-end rejection decisions and interpretable reasoning.
• Develop scalable ML models and collaborate with global teams across disciplines.
• Contribute to a next-generation content understanding system for monetization.

Skills

Machine learning

Python

Software engineering

Team collaboration

Education

PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

Distributed training

Job description

TikTok is seeking a Research Engineer Intern (Monetization Technology - Business Integrity) in San Jose for a 2027 start. You will contribute to building scalable moderation systems and ML models that improve advertiser value and user experience.

The role emphasizes hands-on ML research, collaboration with global teams, and exposure to production-level models and data pipelines. Intern benefits are included.