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Cantina Labs is seeking an experienced iOS Engineer to lead the development of high-performance features for our flagship social AI platform. You will craft personalized feeds, immersive UIs, and AI-powered media features, working closely with product, design, and cross-functional teams.
We value experts in custom graphics, animation pipelines, and media technologies who can deliver scalable, polished experiences for a large user base.
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.
If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!
As an iOS 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 iOS 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, elevating both user experience and innovation in the social AI space.
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.