Research Scientist, Earth AI

Job description

Minimum qualifications: - 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.). Preferred qualifications: - Experience in large-scale training of multimodal foundation models. - Experience with Large Language Models (LLMs) and their adaptation to complex reasoning and planning. - Ability to lead high-ambiguity research projects from high-level concepts to outcomes. - Ability to build and scale multi-agent systems. About the job: As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadline...