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Junior Android Engineer

Patterned Learning Career

This is a remote position.

Junior Android Engineer- Remote Job, 1+ Year Experience

Annual Income: $60K - $65K

A valid work permit is necessary in the US/Canada

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.


      Create and maintain best-in-class Android apps in Kotlin

      Execute product specifications, and offer insight from the Android user's perspective

      Ensure Android and Software best practices are utilized in the code base

      Participate in spec reviews and offer solutions specific to your platform

      Collaborate with QA, Product, and Backend teams

      Participate in pull request meetings and general development meetings


      Experience implementing 3rd party SDKs

      Comfortable with REST API integrations

      Experience with git or similar source control

      Desire to learn new technologies and remain on the cutting-edge

      1+ years experience in professional mobile development, ideally including experience in Kotlin

      BS degree or equivalent work experience


      Python Development

      Web development (HTML, CSS, Angular)

      FastAPI, Keras, Flask, langchain, Pydantic, etc

      UI Engineer

      Windows Server Management

      Strong SQL Database experience

      Content Management Systems

      Databases and Structured Data

      AWS experience

      Flexible and adaptable with the ability to align to changing priorities

      Ability to work independently

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.

This job is closed.