Computer Vision Engineer

CivilGrid, Inc.
Boston, United States of America
9 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 215K

Job location

Boston, United States of America

Tech stack

Training Data
Computer Vision
Encodings
Image Registration
Python
NumPy
OpenCV
PyTorch
Large Language Models
Information Technology
Geospatial Data Abstraction Library (GDAL)
Machine Learning Operations
Feature Extraction

Job description

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.

WHAT YOU'LL DO

  • 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

  • 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

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • Vision insurance
  • Dental insurance
  • Flexible spending account
  • Unlimited paid time off, 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

About the company

CivilGrid is the trusted civil design platform powering affordable infrastructure renewal and growth. We give utilities, civil engineers, and municipalities a single, collaborative source of truth for what's underground so teams can plan, design, and build faster, smarter, and safer. Our platform consolidates utility records, geotechnical and environmental data, paving moratoriums, and jurisdictional requirements directly from 3,000+ utilities, agencies, and municipalities with full chain-of-custody documentation. Teams at PG&E, Mark Thomas, and dozens of leading engineering firms use CivilGrid to cut research time by up to 88%, reduce project costs, prevent dig-ins, and accelerate delivery on the projects that keep communities running. We're a venture-backed Series A startup tackling a $4.7T US infrastructure market that has been underserved by software for decades. Founded by industry insiders, each with 10+ years in utilities and civil engineering, we move fast, ship work that matters, and stay close to the customers and field teams we build for.

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