• Bachelor’s degree or equivalent experience in Computer Science or a related field
• Proficiency in Python
• Ability to design, run, and analyze experiments independently
• Understanding of machine learning fundamentals, large-scale training, and accelerator-based (GPU or TPU) compute environments
• Deep expertise in at least one of the following: self-supervised learning, video and multimodal model architectures, planning algorithms
• Demonstrated record of contributing to advanced research projects via publications and/or major model releases
• Experience developing evaluation frameworks for world models
• Experience releasing and maintaining open-source projects
• Proficiency in a deep learning framework (PyTorch or JAX)