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Computer Vision Engineer

Job in Medford, Middlesex County, Massachusetts, 02153, USA
Listing for: Edge Staffing
Full Time position
Listed on 2026-08-04
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Computer Science
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below

Job Title: Computer Vision Engineer

Location: Full Remote, United States, Boston area or at least EST preferred

Employment Type: Full-Time, Permanent

Overview

Our client, an innovative technology company based in the greater Boston area, is seeking a Computer Vision Engineer to join their growing team. This role offers the opportunity to contribute to groundbreaking computer vision applications in manufacturing, directly impacting operations for a wide range of customers.

Responsibilities
  • Develop and implement machine learning models and algorithms for computer vision applications.
  • Train, fine-tune, and optimize models for tasks including quality control, defect detection, object recognition, and process optimization.
  • Write scalable, production-ready code for deploying ML models in real-world environments.
  • Conduct research, experimentation, and prototyping to enhance performance and accuracy.
  • Stay current with advancements in machine learning and computer vision technologies.
  • Collaborate with customers to understand challenges and deliver tailored solutions.
Qualifications
  • Master's Degree or Bachelor's Degree with relevant experience in Computer Science, Machine Learning, Data Science, or related field
  • 2 years of professional experience in computer vision and machine learning.
  • Hands-on experience with 2D object detection; YOLO familiarity preferred.
  • Proficiency in PyTorch, Tensor Flow, Keras, scikit-learn, OpenCV, and related libraries.
  • Strong understanding of image processing and histogram localization techniques.
  • Experience developing production-level software (not only research datasets).
  • Familiarity with version control systems such as Git.
  • Bonus: experience with autoencoders, semi/unsupervised learning, or traditional CV techniques.
Compensation & Benefits
  • Competitive salary (based on experience)
  • Equity package
  • Comprehensive benefits
  • Flexible work schedule and hybrid environment
  • Direct impact on product development and company culture
  • Sponsored team events, outings, and office perks
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