Staff Machine Learning Engineer

If you’re good at what you do, you can work anywhere. If you’re the best at what you do, come work for Doma Technology LLC.

About Us  

Doma Technology LLC offers solutions for lenders, real estate professionals, title agents, and homeowners that make closings vastly simpler and more efficient, reducing cost and increasing customer satisfaction.

Our Values

• Obsessively Entrepreneurial - We encourage calculated risk-taking, and we know that some of our best learning happens by making mistakes along the way.
• People First - We communicate with honesty and respect to our customers, colleagues, and partners.
• Better Together - We believe diversity, equity and inclusion creates value through the differences in our backgrounds, experiences, and perspectives.
• Act with Integrity - We hold ourselves to the highest ethical standards in all of our business practices.

About the Role 

We’re hiring 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. This role blends deep technical execution with cross-functional collaboration and offers a unique opportunity to apply advanced ML techniques in a highly regulated, high-impact domain. 

What You’ll Do 

• 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. 

Who You Are 

• Autonomous Owner: You drive work forward with minimal oversight and proactively address challenges. 
• Curious: You continuously learn and seek to improve tools, systems, and outcomes—especially in AI and engineering domains. 
• Clear Communicator: You can explain technical decisions and concepts to diverse stakeholders. 
• Product-Oriented: You care about measurable impact and shipping reliable, real-world solutions. 

Qualifications 

• 5+ years of experience developing and deploying models in a cloud-based production environment following MLOps best practices, with proficiency in Python, SQL, Git, Docker. 
• Strong background in statistics, computer science, machine learning, operations research, or mathematics. 
• Experience with object-oriented programming and software engineering practices, such as version control, unit and integration testing, CI/CD and API development. 
• Enthusiasm about taking ownership of complex projects, including managing the requests coming from multiple stakeholders throughout the company.  
• Ability to manage stakeholders and communicate technical concepts to people throughout the company, including business partners in product and senior leadership.  

Shown below is the lowest to highest base salary we in good faith believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the posted range, and the range may be modified in the future.  An employee’s pay position within the base salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs.  At Doma, compensation decisions are dependent on the facts and circumstances of each case.

This job is also eligible for the following compensation components: Bonus & Equity

The base salary range for this role is shown