Cantina
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.
Open Positions at Cantina
6 open positions
Own search and recommendation end to end for Cantina’s rapidly growing social AI content catalog, shaping retrieval, ranking, personalization, and relevance quality. As the first dedicated hire, you will set the technical direction for a production system serving live traffic.
Build and ship state-of-the-art voice conversion and speech models at Cantina, spanning research, data, evaluation, and production inference. This role combines frontier audio ML with hands-on systems engineering, responsible AI, and large-scale deployment.
Build and scale production inference infrastructure for Cantina’s generative audio models, supporting reliable, low-latency streaming and batch workloads. You’ll bridge research and production through Kubernetes-based deployment, MLOps automation, GPU optimization, and observability.
Build and ship cutting-edge TTS, voice-cloning, and related speech models while owning the full research-to-production lifecycle. You’ll combine ML research, large-scale data and GPU systems, rigorous evaluation, and responsible AI practices.
Join Cantina Labs as a founding Machine Learning Engineer focused on evaluating speech generation and recognition models. You’ll build scalable evaluation pipelines, metrics, user studies, and dashboards while shaping the company’s future evaluation team.
Build visually rich, high-performance iOS experiences for Cantina’s social AI platform, spanning personalized feeds, custom interfaces, AI-powered media, and real-time effects. You’ll own major features, contribute to architecture, and help shape an app used by a large audience.