Computer Vision Engineer

Jobtailor; Boston (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor in Boston is seeking a skilled computer vision engineer with 3+ years of Python-based CV experience. You will build and refine vision systems, leveraging both classical CV techniques and modern ML approaches.

You will prepare training data, train and fine-tune models, and collaborate across teams to create end-to-end CV pipelines with robust evaluation metrics from day one.

Join a fast-paced startup culture that values initiative and clear communication.

Qualifications

• 3 years of experience building computer vision systems in Python.
• Solid grounding in feature extraction, matching & image registration.
• ML-based CV with CNNs and transformers.
• Hands-on experience preparing datasets and training vision models.
• Startup-minded: autonomous, fast-moving, proactive.
• Strong verbal and written communication.
• Degree in CS, EE, or related field (B.S. or M.S.)

Responsibilities

• 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

Skills

Python

OpenCV

NumPy

PyTorch

CNNs

Transformers

RANSAC

Dataset preparation

Education

CS/EE degree

Job description

Responsibilities

• 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.)