Forward Deployed Machine Learning Engineer

About this role

Federato seeks a Forward Deployed Machine Learning Engineer to build and deploy ML models and agentic workflows for their AI-native insurance platform. You'll work directly with customers to translate business needs into production-ready solutions, owning the full lifecycle from development through monitoring and iteration.

What you'll do

• Build, deploy, and iterate on ML models and agentic workflow features addressing customer needs
• Improve and validate ML models supporting submission intake, underwriting, and automation
• Develop evaluation pipelines, monitoring systems, and performance metrics for production reliability
• Deploy autonomous agent behaviors into customer-specific workflows
• Monitor production systems via logs and metrics; diagnose and resolve issues
• Partner with Data Science and Engineering teams to deliver high-impact solutions

What they're looking for

• Machine learning and deep learning
• Natural language processing and LLM deployment
• Agentic workflows and prompt engineering
• Production ML systems and cloud deployment
• Experimentation and evaluation pipelines
• Production monitoring and debugging
• Customer-facing technical translation
• Cross-functional collaboration

Benefits

• Base salary $155,000–$180,000
• Bonus and stock options
• Health and benefits package
• Remote work
• Fast-paced, collaborative culture focused on learning
• End-to-end ownership of impactful problems