Earth Genome

• Help design and build a comprehensive benchmarking suite for evaluating foundation models against Earth Index use cases, including defining metrics, curating evaluation datasets, and implementing reproducible evaluation pipelines • Experiment with approaches for combining embeddings from multiple foundation models, exploring ensemble methods, learned projections, and other fusion strategies to improve detection quality • Develop and test workflows for post-processing Earth Index detections, including clustering, filtering, confidence scoring, and spatial analysis to turn raw model outputs into clean, actionable results • Explore advanced embedding applications such as change detection (comparing embeddings across time) and multi-scale search (working across different spatial resolutions) • Write clean, well-documented, shareable code that integrates with existing Earth Index codebases • Document experimental results, design decisions, and methodology clearly enough that the team can build on your work after the internship ends.

• Help manage and maintain the Earth Index product roadmap, working with engineering and leadership to prioritize features based on user impact, technical feasibility, and strategic alignment • Conduct user interviews and synthesize findings into actionable insights, identifying pain points, unmet needs, and opportunities across our partner and user base • Define and track product metrics, including evaluation frameworks that measure detection quality, user success, and platform performance over time • Write clear technical requirements and specifications for new features, translating user needs and research goals into scoped, buildable work • Collaborate with the data science team to understand technical constraints and possibilities, ensuring product decisions are grounded in what the technology can deliver • Contribute to product communications including internal documentation, release notes, and user-facing guides