Research Scientist, Earth AI

As a Research Scientist, you'll 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.

• 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.

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or equivalent practical experience.
• Experience in AI research and development, including in generative AI.
• Experience in Python and machine learning frameworks (e.g., Jax, TensorFlow, PyTorch).
• One or more accepted scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
• 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.
• Ability to lead a research project from conception to a successful outcome.

• 401k matching
• Health insurance
• Equity
• Bonus opportunities
• Stock options
• Paid time off
• Retirement plan

Google Research is building the next generation of intelligent systems for all Google products.