Founding Machine Learning Engineer Equity Series B AI-native insuranc

Open Position:
Founding Machine Learning Engineer

Salary: $180K – $220K + Equity.

Location:

San Francisco, USA.

$60M+ Series B AI-native commercial insurance platform backed by Spark Capital, Y Combinator, and Intact Private Capital.

As the first Machine Learning Engineer, you will build the foundation of a fully autonomous underwriting system for high-hazard industries. You will design and ship production ML systems that transform static construction data into real-time risk assessments, moving the industry toward an agentic future where complex insurance submissions are priced in seconds without human intervention.

• Lead the charge toward the first fully agentic submission in the industry, essentially building the "Waymo for underwriting" for physical world infrastructure.
• Backed by over $60M in funding, including a recent $42M Series B led by Intact Private Capital, providing massive capital and industry-leading carrier partnership.
• Massive ownership as the first ML hire, with the authority to define the ML lifecycle, platform, and registry from the ground up at a high-growth startup.

• Design, build, and ship production‑grade ML systems and agentic LLM workflows that power autonomous underwriting decisions.
• Build and close the feedback loops that translate human underwriter expertise into training signals and compounding model improvements.
• Develop rigorous confidence scoring and evaluation frameworks to determine when the system can take on more autonomy versus needing human review.

• 4+ years of industry experience building end‑to‑end ML systems, from raw data processing to production deployment via platforms like AWS Sage Maker.
• Deep technical proficiency in Python and Pytorch with specific experience fine‑tuning SLMs/LLMs using techniques like RLHF, DPO, or LoRA.
• Proven track record of shipping LLMs in production, including prompt engineering, tool use, and building reliable models with limited labeled data.