Research Scientist, Generative Worlds
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
03-11-2025
Vacancies:
1 Vacancy
Job Summary
Snapshot
Help us build generative models of the 3D world. World models power numerous domains such as media generation visual reasoning simulation planning for embodied agents and real-time interactive experiences. Work with us to build better versions of Gemini Genie and Veo while also exploring new spatial modalities beyond images and videos.
The Role
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
About you
We seek individuals who are passionate about large-scale generative models and believe spatial understanding and generation are on the path to intelligence. We strive for simple methods that scale and look for candidates excited to improve models through infrastructure data evals and compute.
In order to set you up for success as a Research Scientist/Engineer at Google DeepMind we look for the following skills and experience:
- 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.
In addition the following would be an advantage:
- 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.
Key Skills
- Laboratory Experience
- Machine Learning
- Python
- AI
- Bioinformatics
- C/C++
- R
- Biochemistry
- Research Experience
- Natural Language Processing
- Deep Learning
- Molecular Biology
About Company
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.
