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United States
Patterned Learning Career Hiring for Junior Frontend Engineer (JavaScript/HTML/CSS) at Boise, ID Full Time
This is a remote position.
Junior Frontend Engineer (JavaScript/HTML/CSS) – Remote Job, 1+ Year Experience
Annual Income: $58K – $74K
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.
Responsibilities
- Autonomy of project implementation
- Efficient in coding review
- Reporting directly to owners
- Agile work-flow
- Building customer-facing applications
- Meta-development opportunities
The Successful Applicant
- Front-end web experience coding in JavaScript/HTML/CSS.
- Willing to mentor junior talent.
- Eager to move into a lead role with rapid expected company growth.
- Comfortable working in a remote role.
- A dependable individual who can take initiative in cleaning up and expanding projects.
Benefits:
- Competitive salary and benefits package.
- Remote work flexibility! Enjoy the freedom and convenience of working from anywhere with a stable internet connection.
- Opportunity to work on challenging and impactful projects that drive business results.
- Collaborative and supportive work environment.
- Continuous learning and development opportunities.
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.
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.
