Research Scientist, Video Generation (Intelligent Creation) -Global Frontier Tech Recruitment Program -2027 Start (PhD)

We are looking for talented individuals to join our team in 2027. As a graduate, you will have the opportunity to pursue bold ideas, tackle complex challenges, and unlock your full potential. Launch your career where inspiration is infinite at our Company. Successful candidates must be able to onboard by the end of 2027. Please clearly state your availability and expected graduation date in your resume.

About the Team The Intelligent Creation - Global GenAI team focuses on applied research in Generative AI, and delivers intelligent solutions to TikTok, enabling users to make and share creative content in a much easier way. The team has research groups dedicated to multimodal foundation models for content creation, image/video generation and editing, efficient modeling, and world models.

Topic Content: With rapid advances in AGI and foundation models, multimodal content creation across text, image, and especially video is undergoing a fundamental transformation. This role focuses on building next-generation multimodal and agentic foundation models that enable intelligent, efficient, and end-to-end creative workflows, with a strong emphasis on video generation technologies.

You will work on cutting-edge video generation and editing, and agentic systems, optimizing models through large-scale training and post-training (e.g., SFT, RL). The role also involves designing efficient model architectures and advancing reinforcement learning techniques to improve model capability, scalability, and real-world performance in video and broader creation scenarios.

Responsibilities

• Conduct research and development in generative AI and multimodal models, with a primary focus on video generation.
• Design and build models for creative applications on the TikTok platform, driving end-to-end impact from research to production through cross-functional collaboration.
• Explore new AI-driven product opportunities and contribute to next-generation creative experiences. Minimum Qualifications:
• Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline
• Proficiency in training generative AI or large models using frameworks such as PyTorch or JAX.
• Strong programming skills and solid fundamentals in machine learning.
• Strong problem-solving ability and motivation to tackle real-world challenges.
• Good communication and collaboration skills in fast-paced environments.

Preferred Qualifications:

• Ph.D. in Generative AI, Machine Learning Systems, or a related field, or equivalent experience.
• Strong research background in one or more areas: generative AI, video generation, VLMs, or ML systems.
• Hands-on experience in at least one of the following areas: Video generation and editing (highly preferred); VLM fine-tuning; Efficient model design and optimization; Reinforcement learning methods (e.g., RLHF, DPO, GRPO).
• Track record of research publications in top-tier conferences such as CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, or SIGGRAPH Asia.