Hiring: Computer Vision Engineer Company: CyberCoders Location: United States Job Posted Time: 2026-09-03 11:20:22 Employment Type: Full-time / Remote Target Skills & Keywords : Computer Vision, Git, Machine Learning, OpenCV, PyTorch, Python, TensorFlow, scikit-learn About the job Experience: •5+ years of professional experience in machine learning, computer vision, or related fields Required Skills: •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. •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 Qualifications: •Strong programming skills in Python •Understanding of supervised, unsupervised, and semi-supervised learning methods •Strong debugging, optimization, and problem-solving skills •Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field •Master's degree or PhD in a related field •Operational familiarity with anomaly detection, autoencoders, or traditional computer vision techniques Compensation: •$120,000 - $200,000 / year •Flexible work environment (work from home / hybrid options) •Competitive compensation and equity package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!