Senior Mobile Developer

• Create Reinforcement Learning Environments that test an AI model’s ability to solve complex mobile software engineering problems related to fixing code, creating features, refactoring code, and optimizing performance.
• Create a reproducible environment and a golden reference solution for each problem.
• Create realistic, interesting, and extremely challenging mobile coding tasks for frontier AI models using your preferred repositories.
• Design problems that require strong mobile engineering skills, such as tracking down subtle bugs, building non-trivial features, handling application state and lifecycle, or improving performance.
• Develop tasks relevant to your expertise: cross-platform applications using TypeScript, JavaScript, or Dart; iOS applications using Swift; or Android applications using Kotlin.
• For each task, define the problem, build a reproducible environment, and write deterministic verifiers that accept correct solutions across different valid implementations while rejecting incorrect, incomplete, or hard-coded approaches.
• Provide a reference solution showing how the task can be solved.

• Significant hands-on expertise in at least one of the following mobile development tracks: Cross-platform: TypeScript or JavaScript with React Native, or Dart with Flutter; iOS: Swift with SwiftUI or UIKit; Android: Kotlin with Jetpack Compose or the Android View system.
• Deep understanding of mobile application architecture, state management, asynchronous programming, and application lifecycle.
• Proven ability to debug complex mobile applications, resolve bugs, and deliver effective performance improvements.

Project and contracting process: the hiring partner. Applications continue on the provider's website.