Research Scientist, World Models, DeepMind

Research Scientist, World Models, DeepMind Overview

We are seeking a Research Scientist to contribute to the development of multimodal generative models and push the boundaries of world modeling research. This position emphasizes the application of diffusion models for real-time video generation, and you will be part of our core modeling team tasked with building capable and interactive models.

In this role, you will work closely with both researchers and engineers to establish effective feedback loops between modeling and data initiatives. Your responsibilities will include significant research, strategic planning, and engineering efforts aimed at delivering advanced world models.

Responsibilities

• Conduct research and implement innovative architectures to develop advanced generative models that perform in real-time.
• Design, assess, and create datasets to uncover new capabilities of models.
• Collaborate across various capability workstreams to identify and scale effective training methodologies.
• Engage with the training stack to integrate new generative and world model functionalities.
• Stay updated with the latest research and advancements in diffusion models and generative video architectures.

Requirements

• Possess a PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related technical discipline, or have equivalent practical experience.
• Have at least 2 years of experience in publishing research at machine learning conferences or in releasing software models, whether open or closed-source.
• Demonstrate 2 years of experience working with diffusion models, multimodal generative models, or generative video models.
• Preferred: 3 years of experience in leading AI research labs, particularly in pre-training or post-training teams.
• Experience in writing TPU/GPU kernels (e.g., using JAX or CUDA) to enhance model performance and facilitate real-time inference.
• Experience in designing, training, and scaling generative pixel or real-time video architectures.
• A proven track record of collaborating across functions to deliver impactful models.

Benefits

• Opportunity to work in a pioneering AI lab focused on solving complex global challenges.
• Access to diverse learning opportunities and various career pathways.
• Engagement in a culture that prioritizes safety and ethics in AI development.

Degree Requirement: Bachelor’s

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