About the job
With rapid advances in AGI and foundation models, multimodal content creation across text, image, and 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.
Responsibilities
- Conduct research and development in generative AI and multimodal models (e.g., image, video).
- Develop large-scale foundation models (LLMs/VLMs), through post-training techniques.
- 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.
Qualifications
Minimum
- 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
- 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, LLMs/VLMs, or ML systems.
- Hands-on experience in at least one of the following areas: Image/video generation and editing; VLM/LLM fine-tuning; Efficient model design and optimization; Reinforcement learning methods (e.g., RLHF, DPO, GRPO)
- Track record of research publications in conferences such as CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, or SIGGRAPH Asia.