Machine Learning Engineer Intern (Trust and… at TikTok · San Jose

Summary: TikTok is the leading destination for short-form mobile video, and they are seeking a Machine Learning Engineer Intern for the 2026 Summer. The role involves developing advanced models and algorithms in computer vision and NLP to enhance content 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

Required Qualifications:
- 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

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

Required Skills: Machine Learning, Deep Learning, Multimodal Modeling, Large Language Models, Reinforcement Learning, Chain-of-Thought Annotation, Risk Ranking Systems, Content Safety, Algorithm Development, Data Processing, Model Evaluation, PyTorch, TensorFlow

Internship Start Date: Start in 2026 Summer

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), Interns who are not working 100% remote may also be eligible for housing allowance