Senior Machine Learning Engineer, Kiddom

• Have 5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets, with 1–2 years in a technical leadership role
• Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization
• Strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)
• Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiment
• Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders

Desirable

• You will be part of Kiddom’s Data Science 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
• 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 retrieval, curriculum alignment, and real-time personalization
• Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks
• Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems
• Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth

• There is a list of questions as part of the application process. Not filling them out or putting N/A automatically disqualifies you