Google DeepMind · 2 weeks ago
Research Scientist, Generative Worlds
San Francisco Bay Area
Full-time
Onsite
Mid, Senior LevelGoogle DeepMind is focused on building generative models of the 3D world. The role involves conducting research to develop large-scale generative multimodal models, training systems, and enhancing spatial intelligence for real-time interactive experiences.
Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning
Responsibilities
Conduct research to build generative multimodal models of the 3D world
Solve essential problems to train world models at massive scale: build and train large-scale systems for data annotation, curate and annotate training datasets, build and maintain large model training infrastructure, develop scaling ladders and training recipes, develop metrics for spatial intelligence, enable real-time interactive experiences, study the integration of spatial modalities with multimodal language models, and of course: actually train massive-scale models
Qualification
Required
MSc or PhD in computer science or machine learning, or equivalent industry experience
Experience with large-scale transformer models and/or large-scale data pipelines
Track record of releases, publications, and/or open source projects relating to video generation, world models, multimodal language models, or transformer architectures
Exceptional engineering skills in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems
Demonstrated experience in large-scale training of multimodal generative models
Preferred
Experience building training codebases for large-scale video or multimodal transformers
Expertise optimizing efficiency of distributed training systems and/or inference systems
Strong background in 3D representations or 3D computer vision
Strong publication record at top-tier machine learning, computer vision, and graphics conferences (e.g., NeurIPS, ICLR, ICML, SIGGRAPH, CVPR, ICCV)
A keen eye for visual aesthetics and detail, coupled with a passion for creating high-quality, visually compelling generative content
Company
Google DeepMind
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.
Founded in 2010
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2014-01-26Acquired
2011-02-01Series A
Leadership Team
Demis Hassabis
Co-Founder & CEO
Aaron Saunders
VP of Hardware Engineering, Robotics
Recent News
2026-01-19
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