Patterned Learning Career Looking for Website Developer (Entry Level) – (US) at Albuquerque, NM Full Time

Website Developer (Entry Level) – (US) – Remote Job, 1+ Year Experience

Annual Income: $55K – $65K

About us: Patterned Learning is a 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.

Responsibilities:

• Write well-designed, testable, efficient code by using best software development practices
• Create website layout/user interface by using standard HTML/CSS practices
• Integrate data from various back-end services and databases
• Gather and refine specifications and requirements based on technical needs
• Stay plugged into emerging technologies/industry trends and apply them to operations and activities

Requirements and skills:

• 1+ years of proven working experience in web programming
• Top-notch programming skills and in-depth knowledge of modern HTML/CSS
• A solid understanding of how web applications work, including security, session management, and best development practices
• Adequate knowledge of relational database systems, Object Oriented Programming, and web application development
• Hands-on experience with network diagnostics, network analytics tools
• Basic knowledge of the Search Engine Optimization process
• Ability to work and thrive in a fast-paced environment, learn rapidly, and master diverse web technologies and techniques.
• BS in computer science or a related field

Why Patterned Learning LLC?

Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.

The 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.