Responsibilities

• Work directly on building, deploying, and iterating on machine learning models and agentic workflow features
• Apply ML techniques to improve accuracy and overall system performance for production-ready solutions
• Implement and validate ML models and agentic workflows supporting submission intake and underwriting automation
• Deploy and adapt autonomous agent behaviors into customer-specific workflows
• Develop and maintain evaluation pipelines, monitoring systems, and performance metrics
• Monitor production systems via logs and metrics to diagnose issues and drive resolution
• Partner closely with Data Science and Engineering teams to deliver high-impact solutions

Requirements

• Bachelor's or master’s degree in Mathematics, Operations Research, Data Science, AI, or a related field
• 2+ years of experience as a Machine Learning Engineer, Applied Scientist, or s...