About the role

Data Science Intern enhancing Earth Index core capabilities for AI-powered environmental mapping. Advancing foundational models and evaluation methodologies in a remote-first team.

Responsibilities

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.

Currently pursuing (or recently completed) a graduate-level degree in computer science, machine learning, data science, or a related quantitative field
Solid Python skills and experience working with ML frameworks (PyTorch, scikit-learn, etc.)
Project experience in machine learning, particularly in areas like embeddings, computer vision, or model evaluation
Comfort working with large datasets and familiarity with concepts like vector similarity search, dimensionality reduction, or transfer learning
Experience with remote sensing or geospatial data
Methodical, experiment-driven mindset; you document what you try, not just what works
Ability to work independently, manage your own time, and communicate progress clearly in a distributed team.

Travel costs will be covered for Earth Genome offsites and any relevant workshops.