Treeswift empowers energy companies to modernize their field work to meet the unprecedented growth and challenges ahead. To accomplish our mission we deploy our sensors into our customers' field operations , typically on backpacks or vehicles. The resulting LiDAR and imagery data is processed through our AI models to deliver actionable analytics through our web platform. To date, our technology has enabled utilities to reduce wildfire, regulatory and outage risk from vegetation, avoid delays and cost overruns in new construction, and accelerate recovery from severe storms. In just a year and a half since our first utility pilot we are working with three of the five largest utilities in the United States and rapidly expanding across new customers and use cases. To tackle this challenge we are bringing together a team of mission-driven experts from with deep industry experience in robotics (UPenn, Caltech, CMU) and enterprise software development (Palantir, Stripe, Oracle). We have raised from leading investors including Penny Pritzker’s Inspired Capital. We hope you’ll join us on this journey Treeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our mission. We are looking for an exceptional candidate with a proven track record of training and deploying models in a commercial setting. If you are a passionate and experienced engineer eager to contribute to the future of distributed infrastructure management we encourage you to apply. This is a full-time, hybrid/2-day a week in person role in our NYC office.