About
Google DeepMindGoogle DeepMind · San Francisco/New York City
Research Scientist, Generative Worlds
11/1/2025
Description
Key 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.
Areas of focus:
- 3D computer vision, spatial annotation systems
- Spatial representations
- Training large-scale transformers
- Generative pixel and latent models
- Infrastructure for large-scale data pipelines and annotation.
- Quantitative evals for spatial accuracy and intelligence.
- Model scaling, efficiency, distillation, training infrastructure
Qualifications
- 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.
- 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.