AI/ML Engineer - Computer Vision

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.