Machine Learning Engineer
San Francisco (On-site)
Full Time Mid-level / Intermediate USD 180K - 270K
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, A*, Elad 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.
You write amazing code, fast.
Health, dental, and vision insurance
Take what you need vacation policy
Career growth opportunities within a fast-growing AI company
Tags: Airtable Conversational AI CX Engineering LLMs Machine Learning Research
Perks/benefits: Career development Health care Startup environment
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