AI & Machine Learning Engineer @ Lightspeed

AI Startup

On-siteOn-siteFull-time$140k – $220k / year

About this role

AI & Machine Learning Engineer @ Lightspeed - Back to Lightspeed’s Job Listings AI & Machine Learning Engineer Location Northbrook, IL Employment Type Full time Location Type On-site Department Engineering About LightSpeed LightSpeed Build Technologies is revolutionizing the construction industry through AI-powered robotics. Our flagship systems—BRUTE for automated wall panel manufacturing and DEX for on-site collaborative construction—are addressing the global housing crisis by delivering unprecedented speed, precision, and affordability in homebuilding. Position Overview As an AI & Machine Learning Engineer, you will design, build, and deploy the intelligent systems that make LightSpeed’s construction robots smarter, faster, and more autonomous. You will develop machine learning models for computer vision, predictive analytics, autonomous decision-making, and process optimization—all deployed in real-time production environments where precision and reliability are critical. This role sits at the intersection of cutting-edge AI research and practical industrial application. What you'll work on: Machine Learning Development Design, train, and deploy ML models for robotic control, quality prediction, and process optimization Develop reinforcement learning and imitation learning systems for robot task planning Build predictive maintenance models using sensor data to anticipate equipment failures Implement anomaly detection for real-time quality monitoring during automated assembly Optimize model inference for edge deployment on GPU-accelerated hardware in production Computer Vision & Perception Develop deep learning pipelines for object detection, segmentation, and pose estimation Build real-time vision systems for robotic guidance, workpiece tracking, and dimensional verification Implement 3D point cloud processing for construction material recognition Design and train models for visual quality inspection using depth c

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