Decagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, AElad Gil , and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the Role :We’re looking for a Machine Learning Engineer to join our team and help build out our enterprise-grade conversational AI platform. As a Machine Learning Engineer, you will evaluate, fine-tune, and deploy large language models that power the intelligence behind our AI agents. You’ll play a key role in building intelligent systems that learn from interactions, follow complex instructions, and deliver high-quality support autonomously.Qualifications :We are looking to hire exceptional people, with strong spikes. Everyone at Decagon did exceptional work at their prior companies, went to top schools, were nationally competitive at olympiads, and more.5+ years of experience in AI / ML engineering or research.Proven track record of working on AI / ML projects from concept to production.Experience fine-tuning and deploying LLMs in production environments.Benefits :Health, dental, and vision insuranceTake what you need vacation policyCareer growth opportunities within a fast-growing AI companyCreate a job alert for this searchMachine Learning Engineer • San Francisco, California, United States #J-18808-Ljbffr