Jobs at Cantina Labs

Build and productionize large-scale TTS and adjacent speech models end-to-end: model architecture, training, alignment, evaluation, data curation, distributed GPU scaling, latency/cost profiling, tooling, and safety/mitigation for speech systems.

Design, deploy, and scale low-latency inference infrastructure for generative audio models (TTS, ASR, voice conversion). Build high-performance inference engines, Kubernetes-based autoscaling, CI/CD pipelines, observability, and GPU optimization to bridge research and production for streaming and batch workloads.

Design, build, and scale backend systems for a social AI platform. Collaborate with product, design, and data teams to deliver performant microservices, optimize user acquisition and retention, and improve platform scalability and reliability.

The ML Engineer will build and scale large-scale data systems and pipelines, focusing on workload orchestration, dataset curation, and quality improvement techniques for machine learning models.

As a Research Scientist, you will lead research on video generation models, build data systems, and collaborate on model improvements, while driving project ideation and validation.

Own Cantina’s lifecycle product strategy across email, push, and in-product messaging. Develop onboarding, activation, retention, resurrection, and monetization journeys; analyze funnels, cohorts, and qualitative signals; run experiments; and partner with Data and Engineering on instrumentation, personalization, triggers, deep links, dashboards, and post-click experiences. Establish lifecycle operating standards, optimize messaging portfolios, and communicate multi-quarter strategy and tradeoffs to senior stakeholders.

Own customer support and payments risk operations for subscriptions, credits, and payments. Handle billing issues, refunds, disputes, chargebacks, fraud investigations, and account anomalies. Build workflows, escalation paths, macros, SLAs, and support metrics. Manage payment-platform and outsourced support relationships, partner with Product and Engineering on recurring issues, and scale internal and vendor operations as volume grows.

The Product Director will lead the video product strategy and execution, collaborating with teams to enhance creators' video content creation and sharing experience.

Lead iOS application development, create innovative features, collaborate with cross-functional teams, and ensure high-quality standards in a supportive environment.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.

As a Product Manager at Cantina, you will oversee the web product's roadmap, collaborate with global teams, and define user workflows for video editing.

The Senior Machine Learning Engineer will develop and optimize AI image generation models, monitor production issues, and collaborate on ML solutions for generative features.

Build and ship state-of-the-art speech systems end-to-end: model architecture, training (pre-train/fine-tune/post-train), evaluation, tooling, data curation, production inference, and safety/abuse mitigation for voice conversion and related tasks.

Build reusable, scalable platform services and core components (entities, relationship systems), maintain search infrastructure and relevance, lead DevOps and IaC (AWS/Terraform), improve developer experience for the Go backend, and mentor/consult across engineering teams to drive platform-wide architectural standards.

Lead a company-wide brand refresh and own brand messaging, guidelines, and advertising. Manage in-house creative and external agencies, produce commercials and campaigns, align brand across product, social, and comms, and build scalable brand infrastructure.

Lead creative strategy and scaled production for paid performance campaigns across Meta, TikTok, YouTube and mobile ad networks. Develop concept-driven, high-volume creative pipelines using traditional and AI-generated production, own performance analytics and testing frameworks, manage agencies and cross-functional teams, and establish QC processes to iterate on creatives that lower CPIs and drive user acquisition and engagement.