Computer Vision Engineer

CivilGrid

Computer Vision Engineer at CivilGrid developing scalable CV solutions for infrastructure renewal and growth. Collaborating in a hybrid team setting and working from the Boston office.

Posted 7/7/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying computer vision systems using Python and tools like OpenCV and PyTorch, with a strong foundation in classical computer vision techniques and machine learning methodologies. Capable of preparing datasets, training models, and developing cross-technology solutions that integrate various approaches for optimal problem-solving.

Highest-signal resume keywords

Computer Vision Systems DevelopmentPython ProgrammingOpenCVMachine LearningDataset Preparation and Model Training

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Feature ExtractionGeometric TransformationsImage RegistrationCNNsTransformersRANSACModel Fine-TuningModel EvaluationCross-Technology SolutionsQuality Metrics

Soft Skills

Strong CommunicationCollaborationInitiative

Tools & Technologies

NumPyPyTorch

Industry Keywords

Computer VisionMachine LearningVision-Based ModelsStart Up Ready

Tech Stack

Tools & technologies

NumpyPythonPyTorch

About the role

Key responsibilities & impact

Explore our data and workflows to identify opportunities where CV/ML-based solutions can have the most impact
Apply classical computer vision techniques — feature matching, geometric transformations, image registration — to build internal and customer-facing features
Prepare training data, and train, fine-tune, and validate vision-based models
Develop cross-technology solutions that combine VLMs, vision-based models, and classical CV to solve problems no single approach can
Ship CV pipelines that can be continuously monitored and validated, with evaluation harnesses and quality metrics built in from day one

Requirements

What you’ll need

3 years of experience building computer vision systems in Python, 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
Start Up Ready: autonomous, moves fast, takes initiative without being asked
Strong verbal and written communication, able to articulate ideas clearly and collaborate effectively
A degree in Computer Science, Electrical Engineering, or a related field (B.S. or M.S.)

Benefits

Comp & perks

Company-funded medical, dental, and vision insurance — including medical plans at no cost to the employee
FSA (health and dependent care)
Unlimited PTO and a culture that expects you to actually use it
401(k) plan
Flexible, remote-friendly work environment
A high-trust team, real ownership, and the chance to do the most meaningful work of your career