Job Title

Research Scientist, Earth AI _corporate_fare_ Google _place_ Mountain View, OK, USA; San Francisco, CA, USA Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XApplicants in San Francisco: 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.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, OK, USA; San Francisco, CA, USA . 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 deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. EarthAI is a frontier initiative at Google Research to build the worldu2019s most advanced planetary foundation models and bring it together with Gemini based reasoning to understand, plan, and act to help address some of the most critical challenges of our time. Our team develops models that interpret the world's physical dynamicsu2014from global mobility and population shifts to environmental signalsu2014transforming the entire planet into an interactive environment for understanding and reasoning We are looking for a Research Scientist to push the boundaries of multimodal generative AI and agentic systems at a massive scale. Google Research is building the next generation of intelligent systems for all Google products. To achieve this, weu2019re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs. The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (. Responsibilities + Design and implement algorithms for Generative AI across massive, multimodal planet-scale datasets, including satellite streams, population understanding and global environmental signals. + Lead the training and fine-tuning of Gemini models to achieve