Junior Software Designer

Junior Software Designer - Remote Job, US/Canada, 1+ Year Experience About us: Patterned Learning is an AI-powered platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.

After applying for a position, please follow our page for further updates. Responsibilities: Create mobile electronic form solutions for our clients, following specifications our clients provide. Design and test applications using our proprietary screen designer, Microsoft Word & Excel report designs, and integration points to hundreds of other systems on the web. Consistently and accurately record daily time.

Participate in weekly team meetings. Deliver product training for new and existing clients. Assist in troubleshooting and resolving system issues and user inquiries. Requirements: Associate's / Bachelor's degree in business, marketing, computer science, computer engineering, or technical studies, high GPA a plus. Proficient in Microsoft Office and other general office software. Interest or hobby in software development or website design.

Experience with database design, SQL, SharePoint, Google app scripts, web design, or other technologies is also a plus. Experience with Apple MacBook / MacOS computers is a plus. Special Benefits you will love: Flexible vacation paid unlimited holidays and paid sick days 401(k) with up to 2% employer match Health, vision, and dental insurance Why Patterned Learning AI? By leveraging AI, Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively.

This AI-powered assistance can help reduce coding errors, improve productivity, and accelerate the development process. The use of AI in pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.