Note: The job is a remote job and is open to candidates in USA. CyberCoders is a venture-backed technology company building AI-powered solutions for complex operational environments. They are seeking a Mid-Level Machine Learning Engineer to develop and deploy machine learning systems, collaborating with engineers and domain experts to create impactful solutions for customers.

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

Skills

• 2+ 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
• 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

Benefits

• 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

Company Overview