Machine Learning Engineer Intern (Trust and Safety - CV/NLP/Multimodal LLM) - 2026 Summer(BS/MS)

to reality as your inspiration brings infinite opportunities at TikTok.

Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date).
Summer Start Dates:

• May 11th, 2026
• May 18th, 2026
• May 26th, 2026
• June 8th, 2026
• June 22nd, 2026

Responsibilities:

1. Leverage multimodal large models to explore few-shot and zero-shot strategies for content safety scenarios, and build moderation models with strong generalization capabilities.
2. Participate in reinforcement learning-based data mining, and help design Chain-of-Thought (CoT) annotation frameworks to improve the model's understanding of complex risks.
3. Build risk ranking and recall systems to enhance coverage and accuracy in identifying high-risk content.
4. Collaborate with product and policy teams to drive real-world deployment and performance optimization of moderation algorithms.

Qualifications

Minimum Qualifications:

1. Currently pursuing a Master degree with a background in computer science, machine learning, or similar fields;
2. Solid foundation in machine learning and deep learning; familiarity with multimodal modeling; hands-on experience with large model projects is a plus.
3. Interest in content safety, with an understanding of the challenges in risk identification within moderation workflows.
4. Proficient in end-to-end algorithm development, including data processing, modeling, and evaluation; experience with PyTorch or TensorFlow is required.

Preferred Qualifications:
Strong learning ability, clear communication, and a strong sense of teamwork and responsibility.

For TikTok
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