Ml Engineer Manager, Ai Conversation Platform

Engineering Manager, AI Conversation PlatformAbout the team: The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by automating the easy tasks, and assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We’re developing RAG based systems on the latest LLMs as well as fine?tuning our own models. We’re an end?to?end team going from ideas to models to shipping in production.What you’ll doResponsibilitiesDriving an ambitious vision for AI/ML that benefits our usersSetting the technical process direction for the team based on business goalsBrainstorm and coordinate product integrations with partner teamsProposing new ideas and building prototypesBe an integral part of a larger ML community internally and externallyHire develop a world?class team to deliver high?quality ML systems.Coach engineers to help them grow in their careers and maintain a high barWho you areWe are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action.Minimum requirementsHave at least 4 years of experience managing ML teamsExperience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor.Lead by example in high?growth, high?impact, ambiguous environmentsHave experience building shipping ML systems.Hold yourself and others to a high bar when working with production systems.Thrive in a collaborative cross?functional environmentPreferred qualificationsExperience in shipping LLM RAG systems#J-*****-Ljbffr

Have at least 4 years of experience managing ML teams Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor. Lead by example in high?growth, high?impact, ambiguous environments Have experience building shipping ML systems. Hold yourself and others to a high bar when working with production systems. Thrive in a collaborative cross?functional environment Preferred qualifications Experience in shipping LLM RAG systems #J-*****-Ljbffr