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Federato

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About

Federato is an AI-driven underwriting platform that helps insurance companies optimize their risk portfolio and improve underwriting decisions. It uses deep reinforcement learning to provide real-time decision support, automate submission triage, and streamline workflows. The platform offers a single pane of glass for underwriters, an efficient submission portal for brokers, and a seamless rating interface. Federato caters to carriers, MGAs, and mutuals, helping them win more high-appetite deals faster and achieve profitable underwriting growth. The company is well-funded and has a strong leadership team with deep insurance and SaaS experience.

Platform
Web
Task
underwriting platform

Features

real-time decision support

deep reinforcement learning

ai-driven platform

efficient submission portal

automatic submission triage

single pane of glass

seamless rating interface

riskops underwriting platform

Job Opportunities

Federato favicon
Federato

Machine Learning Engineer

Federato's AI-powered platform transforms underwriting by automating submissions, providing real-time decision support, and streamlining workflows for insurance companies.

scienceremote
$120,000 - $150,000
full-time

Benefits:

  • stock options

  • benefits

  • additional perks

Experience Requirements:

  • at least 6 months of relevant internship experience in a similar role

Other Requirements:

  • Practical experience through coursework, internships, or personal projects in applying machine learning techniques, ideally with some exposure to NLP models, prompt engineering, and working with LLMs

  • Familiarity with version control (Git), CI/CD pipelines, and deploying ML models or services locally or in cloud environments

  • Proficiency in Python for building and testing ML models, with experience using popular ML and data libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy

  • Enthusiasm for customer-facing work, including the ability to understand specific use cases and adjust ML models accordingly

Responsibilities:

  • Quickly deploy and test the current LLM-powered pipeline locally for specific customer use cases, making necessary adjustments to ensure alignment with customer requirements, and documenting findings clearly

  • Take ownership of deploying product improvements based on customer-specific requests, pushing code and configuration changes to GitHub, and collaborating closely with product and engineering teams for smooth integration

  • Build and maintain a repository of prompts for various scenarios that would be leveraged for any prospective customer proof of concept, iterating on these to optimize performance and ensure they are production-ready when needed

  • Lead technical PoC projects with prospective customers, showcasing the capabilities of the ML models, addressing their specific needs, and gathering feedback to inform future improvements

  • Collaborate with the team to ensure continuous monitoring of deployed models, focusing on improving accuracy and performance within a structured ML framework while learning best practices for pipeline maintenance

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Senior Machine Learning Engineer

Federato's AI-powered platform transforms underwriting by automating submissions, providing real-time decision support, and streamlining workflows for insurance companies.

scienceremote
$180,000 - $220,000
full-time

Benefits:

  • stock options

  • benefits

  • additional perks

Experience Requirements:

  • at least 5 years

  • Proven experience in designing, training, benchmarking, and fine-tuning machine learning models, particularly with NLP models and large language models (LLMs)

Other Requirements:

  • Experience in building scalable ML pipelines using tools such as Kubeflow

  • Knowledge of automating and monitoring ML workflows to ensure consistent model performance in production

  • Hands-on experience with cloud platforms, including deploying models, managing cloud resources, and using relevant APIs for data intake, storage, and processing

  • Great communication skills with the ability to convey complex findings to non-technical audiences

Responsibilities:

  • Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to enhance accuracy and efficiency in submission intake processes across multiple insurance use cases

  • Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to address business-specific requirements while maintaining an eye on adaptability and future innovation

  • Continuously research and incorporate the latest advancements in prompt engineering and model optimization to refine prompts for precision and relevance, contributing to a robust, cutting-edge ML infrastructure

  • Collaborate cross-functionally, serving as a technical lead for junior team members, providing mentorship and guidance to elevate team performance and technical knowledge

  • Ensure production-grade deployment standards, emphasizing scalability, reliability, and compliance with insurance data handling policies, balancing rapid iteration with stability

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Technical Program Manager

Federato's AI-powered platform transforms underwriting by automating submissions, providing real-time decision support, and streamlining workflows for insurance companies.

engineeringremote
$170,000 - $195,000
full-time

Benefits:

  • stock options

  • benefits

  • additional perks

Education Requirements:

  • B.S. in Computer Science or a related technical discipline, or equivalent experience

Experience Requirements:

  • 6+ years of software engineering, systems engineering, or technical product/program management experience

  • Experience owning a SaaS implementation or delivery

Other Requirements:

  • Knowledge of user needs, gathering requirements, and defining scope

  • Exceptional project management skills

  • Experience operating autonomously across multiple teams, demonstrated critical thinking, and thought leadership

  • Communication experience and previous successes in defining processes

  • Organizational coordination experience and experience establishing work relationships across multi-disciplinary teams and multiple partners

  • Analytical and problem-solving experience with complex systems and processes

  • Coding competence in Javascript and SQL

Responsibilities:

  • Lead aligned program teams to efficiently deliver successful customer implementations on time with quality

  • Develop and own and leverage project plans to effectively and proactively communicate program status, issues, and risks to stakeholders

  • Define and track key metrics and key quality and performance indicators and drive cross functional execution of program deliverables

  • Partner with cross functional teams to drive technical analysis, design, development, testing, implementation, and post implementation phases

  • Drive internal and external process improvements across multiple teams and functions including reducing the manual efforts through automation

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