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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying computer vision systems using Python and classical techniques, with a strong foundation in machine learning and model evaluation. Capable of developing cross-technology solutions and effectively communicating complex ideas.
Highest-signal resume keywords
Computer Vision Systems DevelopmentPython ProgrammingClassical Computer Vision TechniquesMachine Learning Model TrainingCross-Technology Solutions
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Computer VisionMachine LearningFeature ExtractionImage RegistrationCNNsTransformersDataset PreparationModel EvaluationGeometric TransformationsRobust Estimation
Soft Skills
Strong CommunicationCollaborationAutonomous Initiative
Tools & Technologies
OpenCVNumPyPyTorchGDALRasterioVLM APIsMLOps
Certifications & Qualifications
Degree in Computer ScienceDegree in Electrical Engineering
Industry Keywords
Computer VisionMachine LearningGeospatial ToolingReal-World ImageryOCR Outputs
Tech Stack
Tools & technologiesNumpyPythonPyTorch
About the role
Key responsibilities & impact- Explore 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 combining VLMs, vision-based models, and classical CV
- Ship CV pipelines that can be continuously monitored and validated, with evaluation harnesses and quality metrics built in from day one
- Report to the Head of Strategic Initiatives
- Shape CivilGrid's computer vision capabilities as one of the first engineers in this area
Requirements
What you’ll need- 6+ 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
- Autonomous, moves fast, and 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 plus
- Familiarity with geospatial tooling (GDAL/rasterio, coordinate reference systems) is a bonus
- Experience integrating VLM/LLM APIs into production workflows is a bonus
- Experience with MLOps is a bonus
- Must be willing to work from the Boston office at least 3 days per week if hired
Benefits
Comp & perks- Meaningful early-stage equity
- 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