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Tik Tok

Machine Learning Engineer Intern (Trust and Safety

• CV/NLP/Multimodal LLM) - 2026 Summer(BS/MS)

3+ months ago• San Jose, CA
Viewed on February 1, 2026
Apply on company site

About Us

Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

• Size: 5001-10000 employees
• Industry: Entertainment & Gaming, Social Media, Technology

View Company Profile:

Responsibilities:

The algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations. With the continuous efforts from our team, Tik Tok is able to provide the best user experience and bring joy to everyone in the world.

In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in Tik Tok, and will also be responsible for optimizing our distributed model training framework continuously.
We are looking for talented individuals to join us for an internship in 2026. Internships at Tik Tok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at Tik Tok.

Internships at Tik Tok 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 Tik Tok 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 Py Torch or Tensor Flow is required.

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For Tik Tok:

By submitting an application for this role, you accept and agree to our global applicant Client-provided location(s): San Jose, CAJob ID: Tik Tok-7527589557336869138Employment Type: INTERNPosted: 2025-07-30T00:42:01Apply on company site

Perks and Benefits

Health and Wellness

• Health Insurance
• Dental Insurance
• Vision Insurance
• HSA
• Life Insurance
• Fitness Subsidies
• Short-Term Disability
• Long-Term Disability
• On-Site Gym
• Mental Health Benefits
• Virtual Fitness Classes

Parental Benefits

• Fertility Benefits
• Adoption Assistance Program
• Family Support Resources

Work Flexibility

• Flexible Work Hours
• Hybrid Work Opportunities

Office Life and Perks

• Casual Dress
• Snacks
• Pet-friendly Office
• Happy Hours
• Some Meals Provided
• Company Outings
• On-Site Cafeteria
• Holiday Events

Vacation and Time Off

• Paid Vacation
• Paid Holidays
• Personal/Sick Days
• Leave of Absence

Financial and Retirement

• 401(K) With Company Matching
• Performance Bonus
• Company Equity

Professional Development

• Promote From Within
• Access to Online Courses
• Leadership Training Program
• Associate or Rotational Training Program
• Mentor Program

Diversity and Inclusion

• Diversity, Equity, and Inclusion Program
• Employee Resource Groups (ERG)

Company Videos

Hear directly from employees about what it is like to work at Tik Tok.
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