The company is looking to solve complex environmental challenges such as climate change, sustainability, food security, humanitarian aid, and conservation through AI.
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
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
Other
- Bachelor’s degree in Computer Science, ML/AI, or relevant technical field, or equivalent practical experience
- 5+ years experience working in ML
- Ability to communicate AI research and development to audiences with different (non-technical) backgrounds
- 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
