Senior Machine Learning Engineer
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About The Position
The Cornell Lab of Ornithology is a globally recognized leader in technology, data management, and large-scale citizen science supporting birds and biodiversity conservation. We curate more than a petabyte of digital assets, one billion bird sightings, and leverage innovative big data analysis tools and machine learning to produce web applications and services to empower a global community of bird and nature enthusiasts, researchers, conservationists, and educators. The Lab is in an incredible growth phase and navigating exciting challenges to scale our data-driven tools and services for conservation communities in all corners of the globe. eBird collaborates with hundreds of regional organizations in more than 80 countries who are using eBird, Merlin Bird ID, Birds of the World, and other resources as a platform to advance their conservation goals. The Senior Machine Learning Engineer will use their skillsets in science, technology, and engagement to empower people and partners in conserving birds and biodiversity. Their vision and prototyping work will demonstrate what is possible when machine learning is applied to the world's greatest conservation challenges. These innovations are the hook for engaging millions of people with birds. We are seeking a visionary technologist and entrepreneurial leader driven to blend research, technology, and community engagement, catalyzing conservation efforts and fostering global appreciation for healthy ecosystems. Ideal candidates will be enthusiastic about leveraging machine learning to tackle extremely difficult engineering and community challenges in a collaborative setting. They will pioneer novel approaches for biodiversity classification, detection, and analysis. This position will lead the vision for Merlin Sound ID, Merlin Photo ID, MerlinVision, and related machine learning services embedded in the Merlin app and eBird/Macaulay Library production services.
