Research Scientist Intern (Trust and Safety - CV/NLP/Multimodal LLM) - 2027 Start (PhD)

San Jose · Posted Oct 03

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At a glance

Location: San Jose, CA
Work type: Onsite
Category: Data

PhD internship at TikTok in San Jose, CA focusing on research in computer vision, multimodality, and large language models (LLMs) for trust and safety. Internship involves developing models, exploring multimodal/vision LLMs, and optimizing training frameworks. Open to PhD candidates with strong deep learning experience and potential publication records.

What they are looking for

Computer visionMultimodalityLlmPytorchTensorflow

Location: San Jose, California, United States of America Department: Algorithm

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, TikTok is able to provide the best user experience and bring joy to everyone in the world.

We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.

Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.

Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).

Responsibilities

Develop computer vision model or multimodality model to recognize violation content in TikTok
Explore cutting-edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous, etc)
Explore the application of LLM in our business scenarios, like pre-training, zero-shot/ few-shot learning, hard case mining, etc
Continuously optimize the training framework to better adapt to the training of large models

Minimum Qualifications

PhD candidate in computer science or a related technical discipline
Related Research Experience at least one of the following areas: computer vision, multimodality, LLM
Be proficient with at least one deep learning framework (e.g. PyTorch, TensorFlow)
Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills

Preferred Qualifications

Published papers in the top AI conferences or journals is a plus, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV, etc

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy