• Design, build, and productionize machine learning models focused on: • Knowledge extraction from unstructured data (e.g., NER, entity linking) • Graph-based learning and inference • Entity resolution and relationship discovery • Evaluate and leverage existing ML models and frameworks to solve real-world problems efficiently • Partner closely with backend and graph engineers to integrate ML models into production services and APIs • Contribute to the design and evolution of knowledge graphs and ontologies • Perform exploratory data analysis (EDA) to inform modeling decisions and system design • Own ML components end-to-end, including experimentation, evaluation, deployment, and iteration • Help shape best practices for applied ML within the Knowledge Layer team