Federato is on a mission to defend the right to efficient, equitable insurance for all. We enable insurers to provide affordable coverage to people and organizations facing the issues of today - the climate crisis, cyber-attacks, social inflation, etc. Our vision is understood and well funded by those behind Salesforce, Veeva, Zoom, Box, etc.
Federato is the only AI-native platform that spans the full policy lifecycle and changes the way insurance work gets done. Better decisioning is built-in, not bolted on: insurers' unique portfolio goals, strategies, rules, and appetite are part of the workflow so underwriters win the right deals, faster. From the moment a submission hits an underwriter’s inbox, AI is put to work, triaging submissions with a focus on high-appetite business, delivering real-time feedback on the portfolio, and consolidating workflows into a single proven system. Federato drives better business outcomes.
What You'll Be Doing:
Work directly on building, deploying, and iterating on machine learning models and agentic workflow features that address real customer needs
Apply ML techniques to improve accuracy and overall system performance, ensuring solutions are robust, reliable, and production-ready for customers
Improve, implement, and validate ML models and agentic workflows supporting submission intake, underwriting decision-making, and automation tasks
Federato is hiring for this role on CareerPlace.
Apply on the company website: https://job-boards.greenhouse.io/federato/jobs/5206958008
Imported from employer careers page. Source ref: 98c3b5329714.
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