Senior/Staff Computer Vision Engineer

Responsibilities

• Explore data and workflows to identify opportunities for CV/ML-based solutions.
• Apply feature matching, geometric transformations, image registration, and other classical computer vision techniques to internal and customer-facing features.
• Prepare training data and train, fine-tune, and validate vision-based models.
• Combine VLMs, vision-based models, and classical computer vision techniques.
• Ship continuously monitored CV pipelines with evaluation harnesses and quality metrics.

Requirements

• 6+ years of experience building computer vision systems in Python using tools such as OpenCV, NumPy, and PyTorch or equivalents.
• Strong grounding in classical computer vision, including feature extraction and matching, geometric transformations, image registration, and robust estimation such as RANSAC.
• Strong grounding in machine learning and ML-based computer vision, including CNNs, transformers, and embedding spaces.
• Hands-on experience preparing datasets and training, fine-tuning, and evaluating vision-based models.
• Ability to work autonomously, move quickly, and take initiative.
• Strong verbal and written communication skills.
• Bachelor's or master's degree in Computer Science, Electrical Engineering, or a related field.
• Experience with scanned documents, OCR outputs, low-quality rasters, geospatial tooling, VLM/LLM API integration, or MLOps is preferred.

Benefits

• Hybrid Boston, MA work arrangement with at least three office days per week and remote-friendly flexibility.
• Company-funded medical, dental, and vision insurance, including no-cost medical plans.
• Health and dependent-care FSA.
• Unlimited PTO.
• 401(k) plan.
• Meaningful early-stage equity and a high-trust environment with substantial ownership.