Research Scientist, Earth AI

• Author research papers to share and generate impact of research results across function and in the research community. 
  
• Help in growing research business by sharing research trends and best practices within the community. 
  
• Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed. 
  
• Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research. 
  
• Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.
  

Minimum qualifications:

• PhD degree in Computer Science, Machine Learning, Statistics, Electrical Engineering, Geography, Epidemiology, or a related quantitative field.
• 2 years of experience leading a research agenda.
  
• Experience in developing and deploying models using the frameworks (e.g., TensorFlow, PyTorch, or JAX) specifically on High Performance Computing hardware.
  
• One or more scientific publication submission(s) for conferences, journals, or public repositories (e.g., CVPR, ICCV, NeurIPS, ICML, ICLR).

Preferred qualifications:

• 2 years of coding experience.
  
• 1 year of experience leading research efforts and influencing other researchers.
  
• Research experience in earth science, epidemiology, or public health.

• PhD degree in Computer Science, Machine Learning, Statistics, Electrical Engineering, Geography, Epidemiology, or a related quantitative field.
• 2 years of experience leading a research agenda.
  
• Experience in developing and deploying models using the frameworks (e.g., TensorFlow, PyTorch, or JAX) specifically on High Performance Computing hardware.
  
• One or more scientific publication submission(s) for conferences, journals, or public repositories (e.g., CVPR, ICCV, NeurIPS, ICML, ICLR).