Software Engineer - ML

Treeswift is at the forefront of revolutionizing critical energy infrastructure management through innovative AI solutions. The company specializes in developing advanced monitoring systems using LiDAR and imagery data to protect utility assets from vegetation-related risks and natural threats.

As a Software Engineer - ML, you'll join a team of robotics experts from prestigious institutions and industry veterans, working on cutting-edge machine learning solutions. The role focuses on developing and deploying AI models that transform how vegetation management is handled around energy infrastructure. You'll work with both LiDAR point cloud models for landscape classification and image models for vegetation analysis.

The position offers a unique opportunity to impact critical infrastructure protection while working with state-of-the-art technology. You'll be responsible for the entire ML pipeline, from dataset curation to model deployment, and will collaborate closely with cross-functional teams to ensure solutions meet real-world needs.

This hybrid role requires 2 days per week in either the NYC or Philadelphia office, offering competitive compensation ($160,000-$180,000) and comprehensive benefits including medical insurance, equity, and unlimited PTO. The ideal candidate brings 5+ years of experience in commercial ML deployment, strong Python skills, and expertise in deep learning frameworks.

Join Treeswift to be part of a mission-driven team that values truth-seeking and ownership, working to enhance the resilience of our energy systems through innovative technology solutions. Your work will directly contribute to protecting critical infrastructure while advancing the field of applied machine learning.