Machine Learning Engineer, Perception

Treeswift is revolutionizing the management of critical energy infrastructure through innovative AI and LiDAR technology. The company specializes in monitoring and managing vegetation risks around utility infrastructure, using advanced sensor packs and AI-driven solutions. As a Machine Learning Engineer, you'll be at the forefront of developing state-of-the-art computer vision solutions, working with both LiDAR point cloud models and image processing systems.

The role offers a unique opportunity to work on challenging technical problems while directly impacting critical infrastructure safety. You'll be joining a team of robotics experts from top institutions and industry veterans, focusing on developing and deploying machine learning models that transform how vegetation management is conducted around energy infrastructure.

The position requires expertise in machine learning, particularly in areas like semantic segmentation and point cloud data processing. You'll work in a hybrid environment, collaborating with cross-functional teams and having direct interaction with end-users. The company values mission-driven individuals who can contribute to both technical excellence and business outcomes.

Treeswift offers competitive compensation, comprehensive benefits, and the chance to work on meaningful problems with real-world impact. The company's culture emphasizes truth-seeking, ownership mentality, and mission-first approach, making it an ideal environment for engineers who want to make a difference in critical infrastructure management while advancing their careers in machine learning and computer vision.