Research Scientist - Generative Video & Diffusion

WeAreTechWomen; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Google DeepMind is seeking a Research Scientist to develop multimodal generative models and advance the frontier of world modeling research. The role focuses on applying diffusion models to real-time video generation within the core modeling team.

You will collaborate with researchers and engineers to set up tight feedback loops across modeling and data efforts, and contribute to research, road-mapping, and engineering work to deliver world models.

Qualifications

• PhD in Computer Science, Machine Learning, Statistics, Mathematics, a related technical field, or equivalent practical experience.
• 2 years of experience publishing research in machine learning conferences or releasing open/closed-source software models.
• 2 years of experience in diffusion models, multimodal generative models, or generative video models.

Responsibilities

• Drive research and implementation of new architectures to build frontier generative models with real-time performance.
• Design, evaluate, and generate datasets to discover new model capabilities.
• Collaborate across capability workstreams to discover and scale optimal training recipes.
• Work across the training stack to land new generative and world model capabilities.
• Stay current with the latest research literature and advancements in diffusion models and generative video architectures.

Skills

Diffusion models

Multimodal generative models

Generative video models

Research publication

JAX

CUDA

Education

PhD in CS or related field

Job description

Google DeepMind is seeking a Research Scientist to develop multimodal generative models and advance the frontier of world modeling research. The role focuses on applying diffusion models to real-time video generation within the core modeling team.

You will collaborate with researchers and engineers to set up tight feedback loops across modeling and data efforts, and contribute to research, road-mapping, and engineering work to deliver world models.