[Remote] Machine Learning Engineer Intern (Trust and Safety - CV/NLP/Multimodal LLM) - 2026 Summer (BS/MS)
Note: The job is a remote job and is open to candidates in USA. TikTok is the leading destination for short-form mobile video, and they are seeking a Machine Learning Engineer Intern to join their algorithm team. The intern will be responsible for developing models and algorithms to enhance content understanding and ensure user safety on the platform.
Responsibilities
- Leverage multimodal large models to explore few-shot and zero-shot strategies for content safety scenarios, and build moderation models with strong generalization capabilities
- 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
- Build risk ranking and recall systems to enhance coverage and accuracy in identifying high-risk content
- Collaborate with product and policy teams to drive real-world deployment and performance optimization of moderation algorithms
Skills
- Currently pursuing a Master degree with a background in computer science, machine learning, or similar fields
- Solid foundation in machine learning and deep learning; familiarity with multimodal modeling; hands-on experience with large model projects is a plus
- Interest in content safety, with an understanding of the challenges in risk identification within moderation workflows
- Proficient in end-to-end algorithm development, including data processing, modeling, and evaluation; experience with PyTorch or TensorFlow is required
- Able to commit to working for 12 weeks during the Summer of 2026
- Strong learning ability, clear communication, and a strong sense of teamwork and responsibility
Benefits
- Day one access to health insurance
- Life insurance
- Wellbeing benefits
- 10 paid holidays per year
- Paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year)
- Housing allowance
Company Overview
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