About Decagon
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 Team
The Research team at Decagon innovates on building the most advanced conversational AI agents for enterprise customers. Decagon’s AI agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.
Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.
About the Role
On the Research team, you’ll be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. You will design and implement state of the art methods for instruction tuning and information retrieval. We're looking for people with strong engineering skills, writing bug-free machine learning code, and building the science behind the algorithms that power our AI agents.
Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges, builds elegant solutions that scale to millions of users, and creates automation that prevents problems before they happen.
In this role, you will
Develop models for customer support tasks that exceed the performance of closed source models
Experiment with small open-source models to drive order of magnitude reductions in latency across channels
Break down ambiguous research ideas into clear, iterative milestones and roadmaps.
Your background looks something like this
3+ 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.
Prior experience working with multi-modal models
Benefits:
Medical, dental, and vision benefits
Take what you need vacation policy
Daily lunches, dinners and snacks in the office to keep you at your best
Compensation
$250K – $415K + Offers Equity
