Ebay Android Software Engineer 

Netherlands, North Holland, Amsterdam 

322002571

About the Role
As an Android Software Engineer on the Core AI team, you’ll help build AI-first user experiences that power key features in the eBay mobile apps. Our team delivers generally applicable AI solutions and owns the full stack—from research to production. You’ll work in a tight-knit, cross-functional group that includes engineers, product managers, researchers, MLOps, and analytics.

You'll collaborate across domain teams and work side-by-side with other native developers in an agile environment. Partnering with product, design, and analytics, you'll craft user-centric features that leverage the latest AI technologies. This is a great opportunity to work on challenging problems with real impact and help define how AI shows up in mobile experiences at scale.

Responsibilities

• Design, develop, and maintain high-performance Android applications

• Collaborate with cross-functional teams to define, design, and ship new features

• Ensure high performance, quality, and responsiveness of applications
  Discover, evaluate, and implement new technologies to boost development efficiency
  Participate in code reviews and provide constructive feedback

• Work with backend teams to define mobile-optimized service contracts

• Contribute to Agile/Scrum workflows: estimating engineering effort, identifying risks, planning implementation, and supporting rollout across multiple teams
  

Requirements

• 6+ years of experience in Android development

• Strong understanding of the Android SDK, OS versions, and screen size differences

• Proficiency in Kotlin and Java

• Experience with Android frameworks and libraries like Jetpack Compose, Room, and Retrofit

• Solid grasp of Android architecture patterns, especially MVVM

• Experience with Dependency Injection and Dagger

• Experience working on multi-module applications

• Skilled in writing Unit, UI, and End-to-End tests, with a focus on testable code

• Experience with offline storage, threading, and performance tuning

• Proficiency working with REST, GraphQL, and WebSocket APIs

• Experience building native Android NDK components

• Exposure to ARCore or ML Kit

• Experience deploying edge ML models using ExecuTorch/ONNX Runtime Mobile

• Familiarity with real-time voice, video, and data communication using WebRTC

• Game development experience using engines like Unity or Unreal