Job Summary
Research and develop models for world generation, future prediction, and simulation, with a focus on improving controllability and producing realistic dynamics. This role connects research with practical implementation, helping advance model capabilities through experimentation, analysis, and collaboration.
Responsibilities
- Research, build, and adapt models for world modeling, future prediction, and simulation.
- Design experiments to assess model capabilities and analyze behavior and performance.
- Work with teams across disciplines to translate research concepts into reliable, scalable implementations.
- Contribute to advances in controllability and realistic dynamics.
Qualifications
- Master’s degree or PhD in a relevant technical field.
- Strong programming proficiency in Python and PyTorch.
- Practical experience with world modeling, video generation, or learned simulation.
- Solid understanding of deep learning and large-scale model training.
