Earth AI Research Scientist — Geospatial ML & HPC

Google; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google Research seeks a Research Scientist to advance Earth AI initiatives and fundamental computer science research. You will set up large-scale tests, deploy promising ideas, and publish findings while collaborating with internal teams and external partners.

Responsibilities include designing experiments, building architectures, and shaping long-term research strategy. You will contribute to the wider research community and help translate insights into scalable Google products.

Qualifications

• PhD in CS/ML/Stats/EE/Geo/Epidemiology or related quantitative field.
• At least 2 years leading a research agenda.
• Experience developing and deploying models with ML frameworks on HPC hardware.
• Evidence via publications in conferences, journals, or repositories.

Responsibilities

• Author research papers to share and generate impact across function and in the research community.
• Grow the 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.

Skills

Lead a research agenda

Publish research papers

Deploy ML models on HPC

Education

PhD in CS/ML/Stats/EE/Geo/Epidemiology

Tools

TensorFlow

PyTorch

JAX

Job description

Google Research seeks a Research Scientist to advance Earth AI initiatives and fundamental computer science research. You will set up large-scale tests, deploy promising ideas, and publish findings while collaborating with internal teams and external partners.

Responsibilities include designing experiments, building architectures, and shaping long-term research strategy. You will contribute to the wider research community and help translate insights into scalable Google products.