Geospatial AI Data Engineer Co-op Fall 2026

Commonwealth of Massachusetts
4d

About The Position

We are seeking a highly motivated Geospatial AI Engineering Intern with a passion for GIS and artificial intelligence, cloud computing, and spatial data-driven development. You will work alongside our MassDOT’s Planning division’s GIS Data Engineering team to both develop and improve GIS data and build AI/ML applications and data pipelines using AWS services. This is an excellent opportunity to gain cross-functional real-world experience in the intersection of GIS and ML/AI.

Nice To Haves

  • Familiarity with ESRI suite software (ArcGIS, Enterprise, Experience Builder).
  • Strong intellectual curiosity and capacity for professional growth.
  • Perform with a strong sense of urgency.
  • Attention to detail with the ability to manage multiple priorities.
  • High level of professionalism and focus on quality.
  • Familiarity with Python, SQL etc.
  • Understanding of AWS cloud technologies.
  • Ability to communicate effectively and build consensus with diverse project stakeholders.
  • Exposure to Agile development practices is a plus.
  • Proficient with Microsoft Office with strong Word and Excel skills.
  • Excellent written, verbal, and analytical skills.

Responsibilities

  • Assist in the design, maintenance, update, and transformation of GIS Data on enterprise databases.
  • Assist in the publishing of enterprise GIS web services.
  • Participate in GIS team reviews, sprint planning, and daily stand-up meetings with cross-functional teams.
  • Perform GIS related technical support for agency staff.
  • Research emerging GEOAI technology and document how it might be useful to the agency.
  • Develop and fine-tune computer vision models and other AI technology using models like YOLO, or RT-DETR for object detection and/or SAM2 or Mask2Former for image segmentation.
  • Assist in the design and deployment of AI/ML-powered applications and intelligent automation workflows.
  • Participate in code reviews, sprint planning, and daily stand-up meetings with cross-functional teams.
  • Research emerging AI/ML techniques and support experimentation and documentation of findings.
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