Research Scientist, Earth AI

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.

• 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.
• Collaborate with cross-functional teams across Google to apply this technology to real-world problems.

• 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.).

• Competitive salary and bonus
• Stock options
• Health insurance
• Retirement plan
• Paid time off

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