Google Research is building the next generation of intelligent systems for all Google products, focusing on projects that utilize the latest computer science techniques. The EarthAI effort specifically aims to build and integrate powerful geospatial AI models with Gemini's agentic reasoning to address critical global needs related to urban planning, public health, weather prediction, flood forecasting, and wildfire detection.
Requirements
- Experience in AI research and development, including in generative AI.
- Experience in Python and machine learning frameworks (e.g., Jax, TensorFlow, PyTorch).
- Experience with geospatial data (e.g., satellite imagery, GIS).
- Experience in large-scale training of multimodal generative models.
- Experience in building multi-agent systems.
- Understanding of large language models (LLMs) and their application to agentic systems.
- One or more accepted scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
Responsibilities
- Design and implement experiments, and evaluate algorithms and data curation for multi-modal generative AI over geospatial data like satellite imagery, street-level data, population, and environmental signals.
- Train and tune Gemini models and agents to significantly enhance geospatial reasoning capabilities, including advanced task understanding, planning, and multi-step execution in geographical contexts.
- Establish benchmarks and publish research to demonstrate the credibility of Google's geospatial models.
- Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.
- Suggest and engage in team collaborations to meet ambitious research goals.
- Collaborate with cross-functional teams across Google to apply this technology to real-world problems.
- Setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.
Other
- Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
- Ability to lead a research project from conception to a successful outcome.
- Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.
- Suggest and engage in team collaborations to meet ambitious research goals.
- Collaborate with cross-functional teams across Google to apply this technology to real-world problems.
