2027 Summer Applied Science Internship - Information & Knowledge Management (Machine Learning)- United States, PhD Student Science Recruiting
Core
Develop systems and frameworks for Information and Knowledge Management in Machine Learning, focusing on Knowledge Graphs, NLP, and unstructured data to accelerate AI innovation.
Role type
PhD-level Applied Science Intern (Machine Learning)
Builds
Systems and frameworks for ML asset lifecycle management, knowledge graphs, and data retrieval tools.
Domain
Artificial Intelligence / Machine Learning / Knowledge Engineering
Deliverable
production ML models
Required skills
Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Programming/Scripting Languages
Responsibilities
Develop scalable automated processes for large-scale data analysis and model implementation; Design and evaluate innovative ML models for complex business problems; Research and apply latest ML techniques from academia and industry.
Seniority
PhD Student, Research & Development