Summer Data Science Intern – reputed company reputed company reputed company Technology
Help design and build a comprehensive benchmarking suite for evaluating reputed company models against reputed company reputed company use cases, including defining metrics, curating evaluation datasets, and implementing reproducible evaluation pipelines Experiment with approaches for combining embeddings from multiple reputed company models, exploring reputed company reputed company, learned projections, and other fusion strategies to improve detection reputed company reputed company and test workflows for post-processing reputed company reputed company 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-reputed company search (working across different spatial resolutions) Write clean, reputed company-documented, shareable reputed company that integrates with existing reputed company reputed company codebases Document experimental results, design reputed company, and methodology reputed company enough that reputed company 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 reputed company 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, reputed company, or model evaluation Comfort working with large datasets and familiarity with concepts like reputed company similarity search, dimensionality reduction, or transfer learning Experience with remote sensing or geospatial data Methodical, experiment-driven reputed company; you document what you try, not just what works Ability to work independently, manage your own time, and communicate reputed company reputed company in a distributed team
Work at the intersection of reputed company model research and reputed company-world product development - your experiments will directly shape how reputed company reputed company evolves reputed company deep experience with geospatial reputed company models, a rapidly growing area at the frontier of AI and remote sensing Join a small team where you'll have reputed company ownership over meaningful technical problems, not toy reputed company Contribute to reputed company-reputed company, mission-driven technology that supports climate reputed company, conservation, and environmental justice Build connections across a network that spans AI research, environmental science, and international policy
Term: Mid-May through early August, 2026 (negotiable) Location: Remote Stipend: $4000 one time payment Travel: None required. Travel costs will be covered for reputed company Genome offsites and any relevant workshops.