Staff Machine Learning Engineer, Doma
$148.7-214.8k
+ Equity + Bonus
Architecting the future of real estate transactions
Be an early applicant
Architecting the future of real estate transactions
1001+ employees
Be an early applicant
$148.7-214.8k
+ Equity + Bonus
1001+ employees
Company mission
To remove the friction and frustration from real estate transactions.
Role
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
- 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
What the job involves
- 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
- 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
Our take
Closing real estate deals is a process fraught with delays and complications. To date, however, the real estate market has been slow to take advantage of the kind of tech innovations that have transformed finance and retail. Doma is one of an increasing number of startups looking to make a change. Previously known as States Title, Doma’s machine learning technology is designed to make every aspect of closing and escrow quick and simple.
Doma is delivering on its ambition, too. Its technology can reportedly shrink title processing time from five days to one minute, and mortgage processing from fifty days to fewer than seven. This game-changing efficiency continues to win the company some of the country’s largest mortgage lenders as clients, giving Doma strong ballast going forward to expand into new areas like home warranties and appraisals.
The company went public in 2021, and whilst it was a deal valued at $3B, Doma has since seen a significant decline in its valuation. Nonetheless, it is making active efforts to move forward, recently announcing a home equity financing offering built for lenders.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
19% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2020
$123m
SERIES C
Jun 2019
$25m
SERIES B
Total funding: $178.3m
Company benefits
- We fully support the career development of our team and provide access to development opportunities at all levels
- We offer multiple coverage options so you can find the right fit for your health care, vision, dental, 401K, life insurance, and AD&D plans
- We offer generous paid time off and family leave, as well as flexible working options for many roles
Company HQ
SoMa, San Francisco, CA
Leadership
Max Simkoff
(CEO)They co-founded InvestRX and Saas company Evolv. They currently sit on the board of JVS.
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