Get more replies from employers
Send a job-specific resume in minutes.
Cantina Labs is seeking an experienced Android Engineer to lead the development of innovative features for its AI platform. You will work on creating high-performance, visually stunning Android applications, collaborating closely with Product Managers and Designers.
The role requires 8+ years of experience in Android development, with expertise in Kotlin and Jetpack Compose. The compensation ranges between $180,000-$240,000 annually, complemented by comprehensive benefits including medical insurance and generous paid time off.
Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
As an Android Engineer at Cantina, you’ll lead the development of innovative, high-performance features — from crafting personalized feeds and immersive custom UIs to empowering bots with AI-driven capabilities like chatting, text-to-speech, voice selection, image creation, and real-time media effects. Working closely with Product Managers, Designers, and Sean Parker, you’ll influence the direction of a product central to the company’s mission, move quickly to deliver impactful updates, and enjoy the autonomy to bring your ideas to life.
We’re looking for someone who thrives on pushing the limits of Android development and has a passion for creating visually stunning, high-performance experiences. Your expertise in custom graphics, animation frameworks, and media pipelines will help shape the creative foundation of our flagship app.
If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!
The anticipated annual base salary range for this role is between $180,000-$240,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.