AI/ML Engineer - Computer Vision

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Cambridge, UShybridPosted Jun 12, 2026
Posting intelligenceActively listed

Skills

classificationscikitlearntensorflowpytorchpythonml

About the role

Job Description

AI/ML Engineer - Computer Vision

Location: Cambridge, MA (Hybrid, 3 Days Onsite Weekly)

Type: Full-Time

Experience Level: Mid-Level

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 seek a Mid-Level Machine Learning Engineer to help develop and deploy production-ready systems, taking ownership of projects across the full ML lifecycle.

Responsibilities

Design, train, and deploy ML and computer vision models for production

Develop solutions for object detection, image classification, tracking, anomaly detection, etc.

Conduct experimentation to improve model performance and accuracy

Optimize models for scalability, reliability, and real-time inference

Build and maintain pipelines for training, evaluation, and deployment

Collaborate with software engineers, product teams, and customers

Troubleshoot and improve ML systems in production

Stay current on emerging ML and CV technologies

Qualifications

2+ years professional experience in ML, computer vision, or related fields

Strong Python programming skills

Experience with PyTorch, TensorFlow, OpenCV, YOLO, scikit-learn, or similar

Experience with computer vision techniques: object detection, segmentation, classification, tracking, image processing

Understanding of supervised, unsupervised, and semi-supervised learning

Strong debugging, optimization, and problem-solving skills

Experience with Git and modern software development practices

Bachelor's degree in Computer Science, Engineering, ML, or related field

Preferred Qualifications

Master's or PhD in a related field

Experience deploying ML models into production

Experience with edge computing or real-time systems

Familiarity with anomaly detection, autoencoders, or traditional CV techniques

Experience in industrial, robotics, automation, or operational technology environments

What We Offer

Competitive compensation and equity package

Challenging, real-world ML problems

High-impact role with ownership and visibility

Collaborative, mission-driven engineering culture

Hybrid work environment in Cambridge, MA

Opportunity to shape the future of a rapidly growing company

Note: Must be currently authorized to work in the U.S. without need for sponsorship. This job was first posted by CyberCoders on 06/10/2026. Applications accepted on an ongoing basis until position is filled.

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