Applied Science Intern - World Model

📋 Description

• Explore World Models for sport/esport match generation.
• Design and optimize AI video gen models focusing on World Models.
• Develop algorithms for synthesizing sport matches.
• Collaborate on large video-action datasets; build data cleaning pipelines.
• Define validation strategies and metrics for synthetic vs real gameplay.
• Stay current with CVPR/NeurIPS/ICML/ICCV literature; align with roadmap.

🎯 Requirements

• Pursuing PhD (preferably in the San Francisco area).
• Publications at CVPR, ICML, ICCV, SIGGRAPH, NeurIPS.
• Hands-on experience with generative CV models (GANs, VAE).
• Strong grasp of Transformers, DDPMs, RNNs, CNNs.
• Solid understanding of VAEs (ELBO).
• Basic understanding of reinforcement learning.
• Proficiency in Python and PyTorch.