Software Engineer, Mobile (iOS or Android)

We're looking for seasoned iOS and Android engineers to join our Claude mobile product team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products.

Responsibilities: • Architect and implement cutting-edge iOS or Android applications • Develop novel solutions leveraging AI technologies • Optimize performance at all levels of the mobile stack • Champion best practices in mobile development • Obsessive attention to detail and app experience • Contribute to backend systems as needed

You might be a good fit if you have: • 7+ years of iOS or Android development experience and proficiency with latest mobile platform capabilities/intricacies, including:

• Expertise in Swift, UIKit, SwiftUI, and iOS frameworks, and/or
• Expertise in Kotlin, Jetpack Compose, Android SDK and the Android ecosystem • Practical experience with full-stack development and comfort working with backend technologies • 0 to 1 experience building successful products in early stage environments • A proven track record of shipping impactful, high-adoption mobile applications • Experience building applications that utilize modern ML/AI technology • Excellent communication and mentorship skills • Thrive in a fast-paced, collaborative environment and enjoy working closely with cross functional partners and teammates

Strong candidates may have: • 3D graphics, visual effects, and audio and video streaming on mobile • A vision for the future of human-machine interaction and a drive to make that vision a reality

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.