In A Nutshell
Work will be a fusion of AI development, data engineering, and collaborative solution-building with Microsoft’s partners, NGOs, and government institutions.
Responsibilities
- Design and implement machine learning and AI solutions with a focus on geospatial analysis for applications ranging from food security, biodiversity, disaster response, to health, and human rights.
- Identify and curate diverse data sources for use in artificial intelligence and statistical modeling.
- Collaborate closely with AI research scientists, data analysts, data engineers, business and project stakeholders and incorporate their expertise into your analytical solutions.
- Partner with NGOs, academic institutions, and government agencies to help advance their efforts in addressing food security, environmental concerns, disaster resiliency, and health.
- Represent the Lab’s capabilities and projects to internal and external leadership audiences, delivering compelling written and oral presentations to both technical and non-technical audiences.
- Advance the research agenda for AI For Good initiatives: Prepare technical and scientific papers and presentations, and publish them internally and externally.
Skillset
- Doctorate in Computer Science, Data Science, Mathematics, Engineering, Physics, Geospatial Sciences, or other relevant field OR equivalent experience.
- Demonstrable experience with building complex AI & ML models.
- Experience building artificial neural networks.
- Interest for public good and collaborative development.
- 3+ peer-reviewed journal publications or conference presentations (preferably on Computer Vision and/or Remote Sensing).
- Demonstrable experience in delivering AI projects.
- Knowledge of PyTorch.
- Proficient written and oral communication skills.
- Experience working with satellite imagery.
- Experience working with a distributed team and with partners across disciplines.