Cantina

QA Engineer

• Partner closely with developers and fellow QA engineers to ensure the robustness of the audio and video infrastructure powering real-time interactions in the Cantina app.
• Design, execute, document, and maintain comprehensive manual test cases for complex media features.
• Work closely with developers to create test plans for new features.
• Perform regression and acceptance testing of media components prior to release.
• Analyze test results and provide actionable insights to elevate platform performance.
• Drive refinements in the team’s software development processes and practices.
• Play a critical role in guaranteeing every new feature meets the highest standards of quality and delivers a seamless, compelling experience for users.

Senior Quality Engineer, Media

Machine Learning Engineer

• Own model deployment end-to-end – take video AI models from research to production, build robust inference endpoints, optimize performance, and ensure models scale.
• Build production-grade inference pipelines – design, deploy, and maintain ML services that handle real-time video processing; debug complex issues, optimize latency, and ensure 99.9% uptime.
• Engineer video data workflows – build scalable preprocessing pipelines using serverless GPU infrastructure (RunPod, etc.) to transform raw video and audio into model-ready formats.
• Architect cloud-native ML systems – leverage AWS (S3, DynamoDB, Lambda, ECS) and Kubernetes to build resilient, scalable data and inference infrastructure that can handle terabytes of video data.
• Automate data annotation at scale – build and maintain labeling pipelines using AWS Ground Truth and Mechanical Turk.
• Collaborate across teams – work closely with research and product teams to align model requirements and user needs.

Senior Quality Engineer, Media

Machine Learning Engineer, Video