Google is looking to solve real-world problems using geospatial AI models, including urban planning, public health, weather predictions, flood forecasting, and wildfire detection.
Requirements
- 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.
- Understanding of large language models (LLMs) and their application to agentic systems.
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
- Ability to lead a research project from conception to a successful outcome.
- Qualified applicants 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.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer.
- Google is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
- If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
