Computer Vision Engineer - Hybrid

CyberCoders; Boston (MA); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Equity

Hybrid work

High impact role

Ownership

Collaborative culture

Job summary

CyberCoders in Greater Boston is seeking a Computer Vision Engineer to design, train, optimize, and deploy CV models for real-world environments. You will work across the full ML lifecycle, from experimentation to production support, and collaborate with software engineers, product teams, and customers.

In this hybrid role, you will contribute to real-time CV solutions using PyTorch, TensorFlow, OpenCV, and related tools, with ownership of model performance and deployment outcomes in a

Qualifications

• 2+ years hands-on experience developing CV/ML systems.
• Proficient Python programming and debugging skills.
• Experience training or fine-tuning CV models (detection/segmentation/classification/tracking).
• Experience with PyTorch, TensorFlow, OpenCV or similar libraries.

Responsibilities

• Design, train, fine-tune, and deploy CV models for production apps.
• Develop solutions for object detection, segmentation, classification, tracking.
• Prototype to improve model accuracy, latency, and reliability.
• Optimize CV models for real-time inference and deployment.
• Build data pipelines for prep, training, evaluation, and deployment.
• Analyze performance and failure cases to improve systems.
• Collaborate with software engineers, product teams, and customers.

Skills

Python

Computer Vision

Model Training

Debugging

Education

Bachelor's degree in CS/Engineering/ML

Tools

PyTorch

YOLO

TensorFlow

OpenCV

scikit-learn

Job description

Computer Vision Engineer

Hybrid | Greater Boston Area | 3 Days Onsite Weekly
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 Computer Vision Engineer to join our growing team. In this role, you will develop, train, optimize, and deploy computer vision models that operate in real-world environments. You will work across the full machine learning lifecycle, from experimentation and model development through deployment and production support.

This is an excellent opportunity for an engineer who enjoys taking ownership, solving challenging computer vision problems, and seeing their work deployed in real-world environments.

Responsibilities

• Design, train, fine-tune, and deploy machine learning and computer vision models for production applications
• Develop solutions involving object detection, segmentation, image classification, tracking, anomaly detection, and image processing
• Conduct experimentation and prototyping to improve model accuracy, performance, and reliability
• Optimize computer vision models for real-time inference and production deployment
• Build and maintain pipelines supporting data preparation, model training, evaluation, and deployment
• Analyze model performance and failure cases and continuously improve deployed systems
• Collaborate with software engineers, product teams, customers, and domain experts to solve complex technical challenges
• Troubleshoot, debug, and optimize machine learning systems operating in real-world environments
• Stay current with emerging computer vision and machine learning models, techniques, and technologies

Qualifications

• 2+ years of hands-on experience developing computer vision and machine learning systems
• Strong programming skills in Python
• Recent hands-on experience training or fine-tuning computer vision models for object detection, segmentation, classification, or tracking
• Experience with frameworks and libraries such as PyTorch, YOLO, TensorFlow, OpenCV, scikit-learn, or similar technologies
• Experience with image processing and both traditional and deep learning-based computer vision techniques
• Understanding of supervised, unsupervised, and semi-supervised learning methods
• Experience evaluating and optimizing model accuracy, latency, and overall performance
• Strong debugging, optimization, and problem-solving skills
• Experience with Git and modern software development practices
• Bachelor's degree in Computer Science, Engineering, Machine Learning, Data Science, or a related technical field

Preferred Qualifications

• Master's degree or PhD in a related technical field
• Experience deploying computer vision or machine learning models into production
• Experience developing computer vision systems for manufacturing, machine vision, quality inspection, robotics, or industrial automation
• Experience with edge computing, embedded inference, or real-time computer vision systems
• Familiarity with anomaly detection, autoencoders, or traditional computer vision techniques
• Experience working directly with customers or end users to translate real-world problems into technical solutions
• Startup or fast-paced product development experience

What We Offer

• Competitive compensation and equity package
• Opportunity to work on challenging, real-world computer vision problems
• High-impact role with significant ownership and visibility
• Collaborative and mission-driven engineering culture
• Hybrid work environment in the Greater Boston area
• Opportunity to help shape the technical direction of a rapidly growing company