The business is looking to solve complex environmental challenges through AI, including climate change, sustainability, food security, humanitarian aid, and conservation.
Requirements
- Experience building, scaling, and optimizing enterprise-grade ML/AI systems
- Experience coding in Python, C/C++, or other similar languages
- Expertise in geospatial AI, such as remote sensing and/or ML for geospatial trajectories
- Experience with large-scale cloud infrastructure
- Experience with large scale machine learning infrastructure deployments
- Ph.D., research background in ML/AI in CS or AI, or relevant technical field
- Experience in large-scale cloud infrastructure
Responsibilities
- Advancing foundation models for geospatial intelligence
- Addressing domain adaptation, low-resource settings, and high-impact decision-making
- Minimizing the cost of annotating high-quality, large-scale geospatial datasets
- Scaling model training and inference responsibly, efficiently, and cost-effectively
- Building robust AI-first tools that enable scientists, policymakers, and conservationists to generate actionable intelligence with minimal friction
- Moving fluidly between AI research and production engineering
- Operating with autonomy and a bias toward action, iterating quickly while ensuring long-term sustainability
Other
- Bachelor’s degree in Computer Science, ML/AI, or relevant technical field, or equivalent practical experience
- 5+ years experience working in ML
- Must be able to remain in a stationary position for long periods of time
- The ability to communicate information and ideas so others will understand
- The ability to observe details at close range
- Can work under deadlines
- Must be able to work on-site in Seattle
