Software Engineer - ML

Treeswift is revolutionizing the energy infrastructure sector by developing AI-powered solutions to monitor and manage critical assets. The company specializes in using LiDAR and imagery data, collected via sensor packs mounted on backpacks and vehicles, to protect utility infrastructure from vegetation-related risks.

As a Software Engineer - ML, you'll be at the forefront of developing state-of-the-art machine learning solutions that increase the resilience of energy systems. The role focuses on two primary areas: developing LiDAR point cloud models for landscape and infrastructure classification, and creating image models to analyze vegetation attributes.

This is an exciting opportunity to join a team of robotics experts from top institutions (Penn, Caltech) and industry veterans (Palantir). The position offers a competitive salary range of $160,000-$180,000, comprehensive benefits, and the chance to work on meaningful problems that directly impact infrastructure safety and reliability.

The ideal candidate should have extensive experience in machine learning model development and deployment, strong Python programming skills, and expertise in deep learning frameworks. You'll work in a collaborative environment that values mission-first thinking, truth-seeking, and an owner's mindset.

Working in a hybrid model (2 days per week in office) from either NYC or Philadelphia, you'll have the opportunity to shape the future of infrastructure management while working with cutting-edge technology and a talented team.