Staff ML Engineer: Build Production ML Systems + Equity

Matcha; Northern (KY); Hybrid; USD 165,000 - 236,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off

Paid family bonding leave

HSA

Disability insurance

Life and AD&D insurance

Critical illness & hospital insurance

Job summary

Doma Technology is seeking a Staff ML Engineer to build and deploy production-grade machine learning systems that reshape decision-making in the title insurance and real estate sectors. You’ll own the development of robust, scalable ML products that power risk assessment, streamline underwriting, and improve operational efficiency.

You’ll work across data engineers, product teams, and domain experts to translate business goals into ML solutions, monitor models in production, and drive impact in

Qualifications

• 6+ years developing and deploying models in a cloud-based production environment following MLOps and engineering best practices.
• Depth in supervised learning on tabular data — feature engineering, class imbalance, label definition, and threshold selection with the business tradeoffs behind it.
• Experience monitoring and evaluating models in production over time — tracking degradation, drift, and error rates, and turning that into a defensible account of what changed and why
• Strong applied statistics. You can decompose a metric change into its drivers and defend the decomposition.
• You're the reviewer, not the reviewed. You look for the reason a number might be wrong before a client's reviewer does, and you have a track record of catching problems in other people's analyses and raising the bar around you.
• Fluent with current AI tooling in your own work.
• Track record of owning complex, ambiguous projects end to end and working directly with product and senior leadership — including pushing back on requirements when they’re wrong

Responsibilities

• Design, build, and maintain scalable ML systems across the full model lifecycle—from data ingestion and training to deployment, monitoring, and retraining.
• Serve as a go‑to expert in title risk and underwriting for our team and the company. This includes exploring ways to reduce model losses, improve the fidelity of our projected losses, and identify new risks in our domain.
• Collaborate with data engineers, product teams, and domain experts to translate business goals into ML solutions that perform in real-world production environments.
• Conduct ad‑hoc analyses and experimentation to inform modeling decisions and stakeholder strategy.

Skills

Python

SQL

Git

Docker

MLOps

Job description

Doma Technology is seeking a Staff ML Engineer to build and deploy production-grade machine learning systems that reshape decision-making in the title insurance and real estate sectors. You’ll own the development of robust, scalable ML products that power risk assessment, streamline underwriting, and improve operational efficiency.

You’ll work across data engineers, product teams, and domain experts to translate business goals into ML solutions, monitor models in production, and drive impact in