CivilGrid is hiring a Computer Vision Engineer for a hybrid role based in Boston, MA. You will explore data and workflows to identify opportunities where CV/ML-based solutions can have the most impact, apply classical computer vision techniques such as feature matching, geometric transformations, and image registration, and prepare and train vision-based models. You will develop cross-technology solutions that combine VLMs and vision-based models, ship CV pipelines with monitoring and quality metrics built in from day one, and work closely with product and engineering teams. Requirements: 3+ years of experience building computer vision systems in Python with OpenCV, NumPy, and PyTorch (or equivalents); strong grounding in classical CV (feature extraction and matching, geometric transformations, image registration, robust estimation (e.g., RANSAC)); solid grounding in ML-based CV (CNNs, transformers, embedding spaces); hands-on experience preparing datasets, training, fine-tuning, and evaluating vision-based models; Startup mindset; strong verbal and written communication skills; degree in Computer Science, Electrical Engineering, or a related field (B.S. or M.S.). Bonus points: experience working with messy real-world imagery, geospatial tooling (GDAL/rasterio), integration of VLM/LLM APIs into production workflows, and MLOps. How we work: a small, rapidly growing team with direct feedback, ownership from day one, and in-person collaboration where it matters with remote-friendly flexibility otherwise. Compensation: base salary range $150,000–$215,000, plus equity and a comp

CivilGrid is hiring a Computer Vision Engineer for a hybrid role based in Boston, MA. You will explore data and workflows to identify opportunities where CV/ML-based solutions can have the most impact, apply classical computer vision techniques such as feature matching, geometric transformations, and image registration, and prepare and train vision-based models. You will develop cross-technology solutions that combine VLMs and vision-based models, ship CV pipelines with monitoring and quality metrics built in from day one, and work closely with product and engineering teams. Requirements: 3+ years of experience building computer vision systems in Python with OpenCV, NumPy, and PyTorch (or equivalents); strong grounding in classical CV (feature extraction and matching, geometric transformations, image registration, robust estimation (e.g., RANSAC)); solid grounding in ML-based CV (CNNs, transformers, embedding spaces); hands-on experience preparing datasets, training, fine-tuning, and evaluating vision-based models; Startup mindset; strong verbal and written communication skills; degree in Computer Science, Electrical Engineering, or a related field (B.S. or M.S.). Bonus points: experience working with messy real-world imagery, geospatial tooling (GDAL/rasterio), integration of VLM/LLM APIs into production workflows, and MLOps. How we work: a small, rapidly growing team with direct feedback, ownership from day one, and in-person collaboration where it matters with remote-friendly flexibility otherwise. Compensation: base salary range $150,000–$215,000, plus equity and a comp