About the Team The Vision-Applied Research team focuses on applied research in Generative AI and CV/Multimodal Understanding, and delivering intelligent solutions to Tiktok, enabling users to make and share creative content in a much easier way.
The team has research groups dedicated to generative models for content creation, image generation, video synthesis, intelligent image/video editing, and world models.
The team is looking for Research Engineer / Scientists who can take initiatives in building next-generation World Models.
The candidate will work on developing methods and infrastructure to train large-scale generative models from massive simulated and real-world multimodal datasets.
This role places a particular emphasis on ensuring long-horizon temporal consistency, realistic physics, complex dynamics from the model and enabling users and agents to interact with the model in real-time.
Responsibilities
- Develop large-scale, diverse, and interactive multi-modal data generation pipeline.
- Develop training pipeline for long-context interactive video generation models.
- Advance video generation models to capture long-horizon temporal consistency, realistic physical dynamics, object interactions, and causal relationships from large-scale multi-modal data.