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An innovative company is seeking a Machine Learning Research Engineer to enhance their enterprise-grade conversational AI platform. In this role, you will evaluate and deploy cutting-edge large language models, contributing to intelligent systems that autonomously deliver high-quality support. This dynamic environment offers the chance to work on groundbreaking AI projects alongside exceptional talent. If you have a passion for AI and a proven track record in machine learning, this is a fantastic opportunity to advance your career in a fast-growing industry.
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This range is provided by Decagon. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
$180,000.00/yr - $270,000.00/yr
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.
We’re looking for a Machine Learning Research Engineer to join our team and help build out our enterprise-grade conversational AI platform. As a Research 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.
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