
Research Scientist for Sustainable Agriculture Innovation
5 days ago
At the forefront of advancing artificial intelligence, our team is dedicated to creating sustainable and food-secure futures through digital innovation.
Job OverviewThis position involves pioneering next-generation AI solutions to address global challenges in food security and climate change. As a Research Scientist on this esteemed team, you will develop novel computer vision models that integrate diverse satellite data sources to provide actionable insights for farmers, policymakers, and humanitarian organizations worldwide.
The role requires leading research that pushes the boundaries of computer vision and machine learning, with direct implications for global agricultural systems. You will be responsible for:
- Pioneering novel computer vision models to create a unified understanding of agriculture from diverse satellite data sources.
- Solving core AI problems by developing generalizable models that are robust across varied agricultural systems, from smallholder farms to large-scale industrial fields.
- Leading research toward the grand challenge of field-level crop yield forecasting, which involves advancing spatio-temporal reasoning and learning effectively from limited or sparse data.
- Designing and executing large-scale experiments, writing high-quality, reusable code, and contributing to a production-ready system.
- Mentoring junior researchers, collaborating with cross-functional teams across the organization, and publishing your work at top-tier conferences.
We value diversity of experience, knowledge, backgrounds, and perspectives, harnessing these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital status, sexual orientation, gender identity, pregnancy, or related condition.
Required Skills and QualificationsTo excel in this role, you must possess:
- A PhD or equivalent practical research experience in Computer Science, AI, or a related field with a focus on computer vision and/or machine learning.
- A strong publication record in top-tier AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR).
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