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Computer Vision Engineer

Everforth -
Cambridge, MA

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Job Details

Full-time

Qualifications

Computer vision
Git
Computational framework
Supervised learning
Unsupervised learning
Machine learning frameworks
Debugging

Full Job Description

Computer Vision Engineer

Computer Vision Engineer

Remote in US
Full-Time

About the Opportunity

We are a venture-backed technology company building AI-powered solutions that bring real-time intelligence to complex operational environments. Our team is leveraging machine learning and computer vision to solve challenging real-world problems at scale.

We are seeking a Mid-Level Machine Learning Engineer to join our growing team. In this role, you will help develop and deploy production-ready machine learning systems, working closely with engineers and domain experts to build solutions that directly impact customers and end users.

This is an excellent opportunity for an engineer who enjoys taking ownership of projects, working across the full machine learning lifecycle, and seeing their work deployed in real-world environments.

Responsibilities

Design, train, and deploy machine learning and computer vision models for production applications
Develop solutions involving object detection, image classification, tracking, anomaly detection, and related technologies
Conduct experimentation and prototyping to improve model performance and accuracy
Optimize models for scalability, reliability, and real-time inference
Build and maintain software pipelines that support model training, evaluation, and deployment
Collaborate with software engineers, product teams, and customers to solve complex technical challenges
Troubleshoot, debug, and improve machine learning systems in production environments
Stay current on emerging machine learning and computer vision technologies

Qualifications

5+ years of professional experience in machine learning, computer vision, or related fields
Strong programming skills in Python
Experience with machine learning frameworks such as PyTorch, TensorFlow, OpenCV, YOLO, scikit-learn, or similar technologies
Experience working with computer vision techniques including object detection, segmentation, classification, tracking, or image processing
Understanding of supervised, unsupervised, and semi-supervised learning methods
Strong debugging, optimization, and problem-solving skills
Experience using Git and modern software development practices
Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field

Preferred Qualifications

Master's degree or PhD in a related field
Experience deploying machine learning models into production environments
Experience with edge computing or real-time systems
Familiarity with anomaly detection, autoencoders, or traditional computer vision techniques
Experience working with industrial, robotics, automation, or operational technology environments

What We Offer

Competitive compensation and equity package
Opportunity to work on challenging, real-world machine learning problems
High-impact role with significant ownership and visibility
Collaborative and mission-driven engineering culture
Hybrid work environment based in Cambridge, MA
Opportunity to help shape the future direction of a rapidly growing company
For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 07/21/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter . Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at [email protected] to make arrangements.

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