SeniorMachineLearningEngineer

About Kiddom Kiddom is transforming K–12 education by bringing high-quality curriculum, instructional tools, and student analytics together in one coherent system. We are building Learning Intelligence Technology (LIT), a new category that gives educators the infrastructure to plan, teach, assess, and respond to student needs. With Kiddom, educators spend less time managing administrative burden and more time delivering meaningful student instruction. Kiddom helps schools and districts deliver more equitable, effective, and adaptive learning experiences. About Kiddom   Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning.   What the job involves   You will be part of Kiddom’s AI team, building the foundation of our search, recommendation, and insights systems. Your work will directly support teachers and students by delivering timely insights, personalized content, and intelligent assistance. What the job involves - - Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine. - Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes. - Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs. - Design intelligent discovery pipelines that combine semantic re