Data & AI Platform, Intern

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Lightmatter

201-500 employeesFounded 2017Mountain View, CaliforniaComputer Hardware Manufacturing
Actively hiringPaidSummer 2027Computer Hardware Manufacturing
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Best applied by Nov 15

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About the role#

This internship sits within the Central Data Platform team, which serves as the Snowflake foundation for engineering, product, and analytics groups. You will work on integrating AI into this platform, focusing on agents that answer questions using trusted data, semantic views for business metrics, and AI features within existing applications.

What you'll do#

  • Build and evaluate Cortex Agents that combine Cortex Analyst and Cortex Search to answer engineering and analytics questions in natural language.
  • Design semantic views over core data products by defining metrics, dimensions, and relationships to ensure consistent answers for BI tools and agents.
  • Integrate AI into existing Snowflake applications, such as Streamlit apps, using Cortex AI SQL functions and agents exposed through the managed MCP server.
  • Set up the AI gateway, observability, and orchestration layer, including governed model access, tracing, evaluations, cost monitoring, and scheduled workflows.
  • Package your work as reusable, documented platform components like templates, Cortex Code skills, and runbooks.
  • Demo your completed work to engineering teams at the end of the summer.

What you'll need#

  • Current enrollment in a Master's program in Computer Science, Data Science, or a related field.
  • Interest in data engineering, data platforms, and applied AI.
  • Demonstrated interest in building AI-based tools through personal projects, research, coursework, or open-source contributions.
  • Experience with SQL, Python, and cloud data warehouses, with a preference for Snowflake.

Location & details#

  • Location: Boston, Massachusetts.
  • Term: Summer 2027.
  • Modality: Hybrid.
  • Status: Full-time internship.

About Lightmatter

Lightmatter operates in the computer hardware manufacturing industry. The company builds technology designed to improve computer processing capabilities. It is a privately held organization founded in 2017. The business is based in Mountain View, California, and maintains a staff of 201 to 500 employees.

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