Federato · 19 hours ago
Senior Machine Learning Engineer
United States
Full-time
Remote
Senior Level
$170K/yr - $210K/yr
5+ years expFederato is on a mission to defend the right to efficient, equitable insurance for all. The Senior Machine Learning Engineer will develop and implement machine learning models to enhance submission workflows and underwriting decision-making, while driving innovation in modeling approaches and collaborating with cross-functional teams.
Artificial Intelligence (AI)FinTechInsuranceInsurTechSoftware
Responsibilities
Develop, implement, and validate machine learning and agentic flows to improve submission intake workflows, underwriting decision making, and related predictive/automation tasks
Drive innovation in modeling approaches while balancing accuracy, efficiency, and interpretability
Establish, maintain, and evolve the principles guiding autonomous agent behavior and decision-making across AI workflows
Lead the design of benchmarking frameworks, evaluation tools, and metrics to continuously measure, upgrade, and optimize models, LLMs, and related systems for latency, predictive accuracy, and coverage of relevant use cases, ensuring Federato’s AI capabilities are both performant and reliable at scale
Build modular, reusable model architectures, training routines, and evaluation frameworks that enable rapid experimentation and adaptation to multiple insurance use cases
Document and share findings to create repeatable modeling practices
Collaborate with MLEs (MLOps) and DEs to ensure smooth integration and deployment
Lead the research, design, and implementation of novel machine learning models and agentic workflows that drive next-generation product capabilities
Identify opportunities for applying advanced modeling techniques, optimize model architectures for performance, accuracy, and coverage, and collaborate cross-functionally to translate innovations into high-impact, production-ready AI solutions
Qualification
Required
Proven experience as a Applied Scientist or Machine Learning Engineer, or similar role (at least 5 years), with at least 2 years of focused experience designing, developing, and fine-tuning large language models (LLMs) and advanced ML models in real-world applications
Proven experience designing scalable, robust, and reusable ML/LLM model architectures and evaluation frameworks, including both classical machine learning and modern generative models
Hands-on experience with model experimentation, benchmarking, and evaluation pipelines, including monitoring model performance, drift, and generalization across use cases to ensure reliability and reproducibility
Experience integrating models with production systems in collaboration with engineering teams, including deploying, monitoring, and iteratively improving models in cloud or hybrid environments
Excellent communication skills, with the ability to convey complex modeling concepts, trade-offs, and findings to technical and non-technical stakeholders
Preferred
Familiarity with open-source LLMs and model adaptation techniques is a plus
Benefits
Stock options
Benefits
Additional perks
Company
Federato
Federato is an AI-powered insurance underwriting platform that enhances the underwriting process for property and casualty insurance.
51-200 employees
H1B Sponsorship
Federato has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (2)
2023 (3)
2022 (1)
Funding
Current Stage
Late StageTotal Funding
$180MKey Investors
Goldman Sachs AlternativesStepStone GroupCaffeinated Capital
2025-11-18Series D· $100M
2024-11-20Series C· $40M
2023-06-27Series B· $25M
Leadership Team
William Ross
CEO and Co-Founder
William Steenbergen
Co-Founder/CTO
Recent News
2025-12-20
Digital Insurance
2025-12-08
Company data provided by crunchbase