Unity3D C# Programmer (Entry Level)

Unity3D C# Programmer (Entry Level) - 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 Work on challenging, non-trivial tasks in the game dev environment Work in an environment where code peer reviews are essential. You should be able to accept peer reviews in a professional, positive, and constructive way, just like how your colleagues will respond to your reviews. Work on shaders, procedural mesh generation, and GPU physics (as well as overall optimization of systems) Be involved in the entire development lifecycle Requirements Be a team player Significant experience with Unity3D Software design skills, including OOP Experience with source control concepts and tools Graphical programming skills: knowledge of meshes, textures, and shaders A strong understanding of physics, math algorithms, and procedural generation Good verbal and written communication skills in English 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.