Junior Technical Artist

This is a remote position.

Junior Technical Artist - Remote Job, 1+ Year Experience...

Annual Income: $61K - $77K

A valid work permit is necessary in the US

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.

About The Role

In this role, you will work closely with the production, art, design, and engineering teams to execute visual objectives.

What you will be doing
? Help create standards for artistic workflows and pipelines
? Amplify artistic capabilities while maintaining efficient and sustainable memory and performance
? Identify new opportunities to incorporate technology to increase art workflow efficiency and quality
? Contribute to lighting, VFX, shader, post effects, and other real-time rendering considerations according to platform or engine
? Generate sample or example 3D content or assets to demonstrate best practices for quality within technical limitations

Requirements
? A solutions provider, particularly as it pertains to developing techniques to meet quality targets with difficult technical constraints.
? Highly proficient communication skills and capacity to act as an ambassador between art and engineering
? Familiarity with pipeline toolsets for lighting, VFX, shaders, and content optimization
? Understanding and proficiency with Unreal and Unity engines
? Experience translating artistic requirements into a sustainable workflow
? Experience with character or object rigging and animation implementation

Benefits
? Paid health care coverage, dental, and vision
? Equipment of your choice
? Remote-friendly
? Flexible working hours
? 401k with matching (3%)

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

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