AI Machine Learning Engineer

SGL is a leader in sports turf technology, providing innovative solutions for maintaining high-quality playing surfaces. They are seeking an AI/ML Engineer to develop machine learning models and enhance their TurfBase platform, focusing on real-world applications in computer vision and geospatial analytics.

Responsibilities:

• Develop, train, evaluate, and maintain machine learning models for imagery, geospatial, time-series, and sensor-based workflows
• Build computer vision models for turf intelligence use cases such as image classification, semantic segmentation, change detection, issue prioritization, and stress detection
• Help activate our data lake by identifying useful training signals, feature sets, labeling strategies, and model opportunities across historical and incoming datasets
• Research and prototype classical ML, deep learning, self-supervised learning, unsupervised learning, weak supervision, and active learning approaches
• Design practical experiments, evaluate model performance, and translate research findings into production-ready product improvements
• Productionize and maintain models in a SaaS environment, including deployment support, model monitoring, retraining workflows, versioning, and reproducibility
• Build and improve data pipelines for imagery, geospatial, tabular, time-series, and sensor data
• Collaborate with software engineering, product, agronomy, and leadership to integrate ML outputs into customer-facing TurfBase workflows
• Explore practical uses of LLMs, agents, context engineering, and AI-assisted development tools to improve internal productivity and future product capabilities