Federato
11 - 50 employees
🤖 Artificial Intelligence
💰 $15M Series A on 2022-09
Artificial Intelligence • Insurance
Federato is an innovative company that provides an AI-driven platform designed to transform underwriting processes for insurance companies. Their platform, known as RiskOps, helps insurers achieve profitable underwriting growth by automating submission triage, offering real-time decision support, and consolidating multiple systems into a single, efficient workflow. Federato's solutions are tailored for carriers, MGAs (Managing General Agents), and mutual insurance companies, offering them improved visibility, efficiency, and the ability to prioritize high-value accounts. With features like seamless rating interfaces and efficient submission portals, Federato aids insurers in streamlining their operations and enhancing their underwriting capabilities using advanced technology.
Forward Deployed Machine Learning Engineer
🕒 April 30
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Federato
11 - 50 employees
🤖 Artificial Intelligence
💰 $15M Series A on 2022-09
Artificial Intelligence • Insurance
Federato is an innovative company that provides an AI-driven platform designed to transform underwriting processes for insurance companies. Their platform, known as RiskOps, helps insurers achieve profitable underwriting growth by automating submission triage, offering real-time decision support, and consolidating multiple systems into a single, efficient workflow. Federato's solutions are tailored for carriers, MGAs (Managing General Agents), and mutual insurance companies, offering them improved visibility, efficiency, and the ability to prioritize high-value accounts. With features like seamless rating interfaces and efficient submission portals, Federato aids insurers in streamlining their operations and enhancing their underwriting capabilities using advanced technology.
📋 Description
• 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 • Deploy and adapt autonomous agent behaviors into customer-specific workflows, translating core AI capabilities into practical solutions • Develop and maintain evaluation pipelines, monitoring systems, and performance metrics to ensure reliability under evolving production conditions • Monitor production systems via logs, metrics, and user feedback to diagnose issues, debug failures, and drive resolution • Take end-to-end ownership of problems — implementing fixes or coordinating with engineering and infrastructure teams as needed • Partner closely with Data Science and Engineering teams to iterate quickly and deliver high-impact solutions
🎯 Requirements
• Bachelor's or master’s degree in Mathematics, Operations Research, Data Science, Artificial Intelligence, or a related field with foundational knowledge in machine learning, deep learning, and natural language processing. • Experience working in a fast-paced, cross-functional environment • 2+ years of experience as a Machine Learning Engineer, Applied Scientist, or similar role delivering ML solutions in production • Experience working directly with customers or stakeholders to translate business needs into technical solutions • Hands-on experience adapting, extending, and deploying ML/LLM systems (including agentic workflows and prompt engineering) in real-world use cases • Strong experience with experimentation, evaluation, and monitoring pipelines, including analyzing production logs and debugging systems • Experience deploying and iterating on ML systems in cloud environments in collaboration with engineering teams • Proven track record of ownership — driving issues through to resolution in production systems
🏖️ Benefits
• Total compensation package does include stock options, benefits and additional perks
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