Intern
About The Position
This internship project involves building and scaling a Semantic Metadata Engine (SME): a system that enriches our data assets with structured, machine-readable meaning so that Agentic AI models can discover, reason over, and use organizational data autonomously and accurately. The intern will assist in building the Metadata Schema & Ontology, Semantic Search & Retrieval API, and Agent Integration Layer. Upon completion, the intern will have gained hands-on experience building infrastructure for enterprise AI systems, developed a working understanding of how Agentic AI models consume and reason over structured knowledge, contributed a production-ready system used by real AI workflows, and built skills at the intersection of data engineering, AI/ML, and knowledge representation. The intern will be part of a global engineering team focused on building scalable Machine Learning and AI solutions that power HERE’s next-generation location platform, working closely with product, data, and platform partners to translate complex problems into impactful, production-ready systems.
Requirements
- Intern pursuing Master’s degree in Computer Science, Machine Learning, AI, Data Science, or related field
- Collaborative engineer with strong problem-solving skills
- Passion for building practical AI solutions
- Experience translating business or product needs into effective machine learning systems
- Enjoy working in a diverse, global environment
Responsibilities
- Build Metadata Schema & Ontology
- Build Semantic Search & Retrieval API
- Build Agent Integration Layer
Benefits
- health (Medical/Dental/Vision) insurance
- retirement savings plans
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What This Job Offers
Job Type
Full-time
Career Level
Intern
