Research Scientist Graduate- CV/NLP/Multimodal LLM, (Trust and Safety) - 2025 Start (PhD)

$137,750 - $237,500/Yr

Tiktok - San Jose, CA

Full-time - Entry Level

San Jose, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. As a Research Scientist in the Trust and Safety team, you will play a crucial role in developing state-of-the-art computer vision, natural language processing (NLP), and multimodal models and algorithms. These innovations are essential for protecting our platform and users from content and behaviors that violate community guidelines and related regulations. Your work will directly contribute to enhancing the user experience on TikTok, ensuring that our community remains safe and enjoyable for everyone. In this position, you will have the opportunity to participate in the development of cutting-edge content understanding models aimed at improving the recognition of violated content on TikTok. You will also be responsible for continuously optimizing our distributed model training framework to adapt to the training of large models. This role is designed for talented individuals who are eager to kickstart their careers and explore limitless growth opportunities within a dynamic and innovative environment. As a graduate joining our team in 2025, you will be part of a collaborative effort to tackle complex challenges and drive impactful solutions. We believe that every challenge is an opportunity to learn, innovate, and grow as a team. At TikTok, we foster a culture of creativity and collaboration, where your contributions will help shape the future of our platform and the communities we serve.

Responsibilities

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

Requirements

• PhD degree in computer science or a related technical discipline.
• Research experience in at least one of the following areas: computer vision, multimodality, or LLM.
• Proficiency with at least one deep learning framework (e.g., PyTorch, TensorFlow).
• Excellent analytical and problem-solving skills, along with strong logical thinking, communication, and collaboration skills.

Nice-to-haves

• Published papers in top AI conferences or journals (e.g., CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV) are a plus.

Benefits

• Paid parental leave
• Health savings account
• AD&D insurance
• Disability insurance
• Health insurance
• Dental insurance
• Flexible spending account
• RSU
• Paid time off
• Parental leave
• Employee assistance program
• Vision insurance
• 401(k) matching
• Paid sick time