Earth Species Project
Senior Infrastructure Engineer (Backend/Data Performance) at Earth Species Project will build and optimize data infrastructure and backend systems to support AI research decoding animal communication. The role focuses on scalable data pipelines, storage layers, and backend performance to enable reliable, production-quality experiments. The engineer collaborates with researchers, engineers, and external partners to simplify and accelerate complex AI workflows.
Headquarters
Berkeley, California, United States
Company Size
11-50 employees
Founded
2018
Earth Species Project is a nonprofit research organization that develops machine learning models and tools to decode animal communication and reveal insights about non‑human cognition, behavior, and conservation. They collect and curate large bioacoustic datasets and build models and demos—such as NatureLM‑Audio (live on Hugging Face)—to analyze vocalizations across species. An interdisciplinary team of computational scientists, biologists, and conservationists drives open‑science releases of models, code, and data. Researchers and partners work with ESP for its domain‑specific ML expertise, datasets, and mission‑driven focus on accelerating discovery and conservation.
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Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Earth Species Project.
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