Machine Learning Engineer
San Francisco (On-site)
Full Time Mid-level / Intermediate USD 180K - 270K
Decagon
Reimagine your customer experience with AI agents, built for the enterprise.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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