Senior/Staff Computer Vision Engineer

Sourced from jobs.energyimpactpartners.com

CivilGrid is seeking a Senior/Staff Computer Vision Engineer to build and scale computer vision capabilities for its civil design platform. You will apply classical CV and modern ML techniques to extract insights from utility and geospatial data, shipping production pipelines that improve infrastructure planning. This is a hybrid role based in Boston, MA, reporting to the Head of Strategic Initiatives.

• Identify opportunities for CV/ML solutions across data and workflows
• Apply classical computer vision techniques (feature matching, image registration, geometric transformations)
• Prepare training data and train, fine-tune, and validate vision models
• Develop cross-technology solutions combining VLMs, vision models, and classical CV
• Ship CV pipelines with monitoring, evaluation harnesses, and quality metrics

• 6+ years of experience building computer vision systems in Python
• Proficiency with OpenCV, NumPy, PyTorch (or equivalents)
• Strong grounding in classical CV: feature extraction, matching, geometric transformations, RANSAC
• Experience with CNNs, transformers, and embedding spaces
• Hands-on experience preparing datasets and training/evaluating vision models
• Autonomous, startup-ready mindset with strong communication skills
• Degree in Computer Science, Electrical Engineering, or related field (B.S. or M.S.)

• Experience with messy real-world imagery (scanned documents, OCR outputs, low-quality rasters)
• Familiarity with geospatial tooling (GDAL/rasterio, coordinate reference systems)
• Experience integrating VLM/LLM APIs into production workflows
• Experience with MLOps