Computer Vision Engineer

Computer Vision Engineer

As a small team, we all wear many hats and enjoy tackling new challenges. When it comes to tech, we're seeking experienced individuals who can efficiently identify problems and devise solutions. As a Computer Vision Engineer, you will get the chance to work on challenging problems that directly contribute to the scalability of CivilGrid's products, and be one of the first engineers shaping CivilGrid's computer vision capabilities.

This role reports to the Head of Product & Engineering. It is a hybrid role with expectations that you are working from our Boston, MA office at least 2 days per week if hired.

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

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.)

Experience working with messy real-world imagery — scanned documents, OCR outputs, low-quality rasters — is a huge plus

Familiarity with geospatial tooling (GDAL/rasterio, coordinate reference systems)

Experience integrating VLM/LLM APIs into production workflows

Experience with MLOps

We're a small, but rapidly growing team that ships. Expect direct feedback, real ownership from day one, and proximity to customers — huge utilities, public agencies, and engineering firms whose work depends on what we build. We default to in-person collaboration where it matters and remote-friendly flexibility otherwise. We hire people who care deeply about their craft and the communities our customers serve.

The base salary range for this role is $150,000– $215,000. Base salary is only one part of your total compensation package at CivilGrid, which also includes meaningful early-stage equity, comprehensive benefits, and the opportunity to shape a category-defining company. The base salary range listed above may encompass various levels and/or geographic locations; final offers are determined based on the candidate's experience, skills, level, and work location.

In addition to base and equity, we offer:

• 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

CivilGrid is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, pregnancy, or any other characteristic protected by federal, state, or local law. Employment decisions at CivilGrid are based on business needs, job requirements, and individual qualifications. If you require a reasonable accommodation to participate in the application or interview process, please contact us — we're happy to help.