NLP / Machine Learning (Bioacoustics & Conservation)

Kashmir World Foundation Internship Kashmir World Foundation is a 100% volunteer-driven nonprofit using AI and bioacoustics to protect endangered species and ecosystems. Our flagship project leverages sentinel species as biological sensors, analyzing animal vocalizations and soundscapes to detect environmental and human-driven threats before they escalate to poaching or wildlife loss. We apply machine learning to high-dimensional acoustic embeddings, modeling temporal dynamics, regime changes, and anomalies to enable proactive conservation. We are seeking an NLP / ML intern to analyze bioacoustic embeddings from field data (Costa Rica expedition), focusing on temporal structure, stability vs. transitions, and early threat detection. What You'll Work On: Analyze high-dimensional audio embeddings Apply PCA, UMAP, and trajectory analysis Study embedding geometry and regime shifts Build reproducible ML experiments Explore models for behavioral and environmental change detection