Civilgrid
Senior/Staff Computer Vision Engineer
Boston, Remote. Posted 9 days ago
The role
You will identify opportunities for CV/ML-based solutions and develop cross-technology solutions combining VLMs, vision-based models, and classical CV. You will also prepare training data and ship CV pipelines with built-in evaluation harnesses.
What you will do
- Explore data and workflows to identify CV/ML-based solution opportunities
- Apply classical computer vision techniques to build internal and customer-facing features
- Prepare training data, and train, fine-tune, and validate vision-based models
- Develop cross-technology solutions combining VLMs, vision-based models, and classical CV
- Ship CV pipelines with evaluation harnesses and quality metrics
Required qualifications
- 6+ years of experience building computer vision systems in Python
- Experience with tools such as OpenCV, NumPy, and PyTorch (or equivalents)
- Solid grounding in classical computer vision: feature extraction and matching, geometric transformations, image registration, and robust estimation (e.g., RANSAC)
- Solid grounding in ML and ML-based computer vision: CNNs, transformers, embedding spaces
- Hands-on experience preparing datasets and training, fine-tuning, and evaluating vision-based models
- Autonomous, moves fast, takes initiative without being asked
- Strong verbal and written communication
- Degree in Computer Science, Electrical Engineering, or a related field (B.S. or M.S.)
Nice to have
- Experience working 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
Benefits
- Meaningful early-stage equity
- Company-funded medical, dental, and vision insurance
- Medical plans at no cost to the employee
- FSA (health and dependent care)
- Unlimited PTO
- 401(k) plan
- Flexible, remote-friendly work environment
About the company
CivilGrid is a venture-backed Series A startup providing a civil design platform for infrastructure renewal. The platform consolidates utility records, geotechnical and environmental data, and jurisdictional requirements for utilities and engineering firms.