Founding Machine Learning Engineer
Core
Building the first fully autonomous underwriting system for commercial insurance, enabling email-to-price workflows with zero human intervention until the final step.
Role type
Founding Machine Learning Engineer (End-to-End)
Builds
Autonomous underwriting agents, confidence scoring frameworks, and feedback loops for risk assessment.
Domain
Commercial Insurance / AI / Autonomous Systems
Deliverable
production ML models
Required skills
End-to-end ML system design, LLM fine-tuning (RLHF, DPO, LoRA), Python, PyTorch, HuggingFace, LLM production deployment, synthetic data generation, confidence calibration, model evaluation
Preferred skills
Document parsing/NLP, agentic frameworks (LangChain, LangGraph), TypeScript, data pipelines (SQL, dbt, Spark), insurance domain knowledge
Technologies
Python, PyTorch, HuggingFace, AWS Sagemaker, LangChain, LangGraph, TypeScript, SQL, dbt, Spark
Responsibilities
Design and ship ML systems for autonomous underwriting decisions, build feedback loops to improve models from human underwriter behavior, develop confidence scoring and evaluation frameworks, partner with underwriters to extract domain knowledge and validate outputs, contribute to observability and guardrail infrastructure for AI safety
Seniority
Founding, high-ownership IC