Earth AI Research Scientist: Geospatial & Health Impact

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

Benefits offered by this job

Equity

Bonus 15% target

Benefits

Job summary

Google seeks a Research Scientist to set up large-scale tests and deploy ideas rapidly, applying latest theories to build and improve products and technologies. The role spans machine learning, data mining, NLP, hardware and software performance analysis, and more.

Responsibilities include designing experiments, prototyping implementations, and shaping architectures while coordinating deadlines and deliverables to advance Google’s research objectives.

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 frameworks on High Performance Computing hardware.
• One or more scientific publication submissions for conferences, journals, or public repositories.

Responsibilities

• 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.

Skills

Lead research agenda

ML frameworks experience

Publications

Education

PhD in Computer Science, ML, Stats, EE or related

Tools

TensorFlow

PyTorch

JAX

Job description

Google seeks a Research Scientist to set up large-scale tests and deploy ideas rapidly, applying latest theories to build and improve products and technologies. The role spans machine learning, data mining, NLP, hardware and software performance analysis, and more.

Responsibilities include designing experiments, prototyping implementations, and shaping architectures while coordinating deadlines and deliverables to advance Google’s research objectives.