(General Hire) Machine Learning Engineer Intern (Trust and Safety - CV/NLP/Multimodal LLM) - 2027 Summer

What you'll do

• Explore few-shot and zero-shot moderation approaches using multimodal large models, and build models that generalize across content safety scenarios.
• Support reinforcement-learning-based data mining and design Chain-of-Thought annotation frameworks for complex-risk understanding.
• Build risk ranking and recall systems, and collaborate with product and policy teams on deployment and optimization.

What they ask for

• Currently pursuing a master's degree in computer science, machine learning, or a similar field.
• Solid foundation in machine learning and deep learning; familiarity with multimodal modeling.
• Interest in content safety and understanding of risk identification challenges in moderation workflows.
• Proficiency in end-to-end algorithm development, including data processing, modeling, and evaluation; PyTorch or TensorFlow experience required.

Nice to have

• Hands-on experience with large model projects.
• Strong learning ability, clear communication, teamwork, and responsibility.

Tools

PyTorch, TensorFlow

AI focus

Develop multimodal large-model moderation approaches, including few-shot and zero-shot strategies; support reinforcement-learning-based data mining, CoT annotation, and risk ranking and recall systems.