Our Verification team is looking for a deep learning engineer to help build cutting-edge systems for our mission to map and monitor the planet's forests. Verification covers everything from data ingestion, storage, indexing, transformations, training, inference, graphics, and tools. Each necessary to produce high-accuracy project evaluations and monitoring. As a member of the Verification team, you will research, design, implement, and deploy deep learning models that advance the state of the art in carbon mapping.
A typical day to day includes reading deep learning code/papers, implementing described models and algorithms, adapting them to our setting, working with other engineers to integrate neural networks to run efficiently, and incrementally tracking and improving feature performance.
We're looking for engineers who find joy in the craft of building and want to make an impact. Engineers who push forward initiatives by asking great questions, cutting through ambiguity, and organizing to win. Engineers who are relentlessly detail-oriented, methodical in their approach to understanding trade-offs, place the highest emphasis on building, and building quickly.
