What are the responsibilities and job description for the Machine Learning Engineering Manager position at Cantina Labs?
A bit about Cantina : Cantina, founded by Sean Parker, is a new social platform with the most advanced AI character creator. Build, share, and interact with AI bots and your friends directly in the Cantina or across the internet.Cantina bots are lifelike, social creatures, capable of interacting wherever humans go on the internet. Recreate yourself using powerful AI, imagine someone new, or choose from thousands of existing characters. Bots are a new media type that offer a way for creators to share infinitely scalable and personalized content experiences combined with seamless group chat across voice, video, and text.If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!A bit about the role : As our Engineering Manager for Text Systems, you'll lead the team responsible for developing and scaling our core text-based AI capabilities, enabling lifelike bot interactions across the platform.You'll lead the machine learning engineers responsible for Cantina's text-based AI infrastructure, overseeing everything from model fine-tuning and inference optimization to bot personality development and natural language understanding. This role combines platform architecture leadership with the specific challenges of building highly scalable, responsive text generation systems.You will : Lead and grow a team of Machine Learning Engineers and Researchers focused on text-based AI systemsArchitect and implement scalable infrastructure for model training, fine-tuning, and inferenceDesign and optimize response generation systems for natural, contextually-aware bot conversationsBuild robust intent detection and bot classification systems to enable sophisticated interactionsDevelop efficient bot building pipelines that enable rapid personality creation and iterationCreate frameworks for measuring and improving text generation quality and performanceEstablish infrastructure for continuous model improvement through user interaction dataBalance real-time performance requirements with model quality and resource utilizationA bit about you : 10 years of engineering experience, with 4 years managing teamsDeep expertise in NLP, language models, and conversational AI systemsExperience building and scaling production ML infrastructureStrong track record of leading teams building high-performance, user-facing AI systemsBackground in real-time systems and performance optimizationExperience with modern ML frameworks and cloud infrastructureTrack record of successful cross-functional collaboration#J-18808-Ljbffr
