Computer Vision Engineer
Job in
Medford, Middlesex County, Massachusetts, 02153, USA
Listed on 2026-08-04
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
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
OverviewOur 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.
- 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.
- 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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