Doma Logo

Doma

Staff Machine Learning Engineer

Reposted 3 Days Ago
Remote
Hiring Remotely in USA
149K-215K Annually
Senior level
Remote
Hiring Remotely in USA
149K-215K Annually
Senior level
As a Staff ML Engineer, you will develop and deploy machine learning systems, collaborating with teams to enhance risk assessment and operational efficiency in title insurance.
The summary above was generated by AI
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 below:
$148,680$214,800 USD
How we’ll value you and make your life a bit easier:

We offer a comprehensive package of benefits to eligible employees: medical/dental/vision insurance, 401(k), generous vacation time, and paid bonding leave.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

We believe the most valuable investment we can make is to build an outstanding team of colleagues and leaders who are passionate about our mission.

We currently offer the following benefits to all Full-Time employees:

  • Work/Life Balance - We encourage taking Paid Time Off (PTO)!
  • 12 Weeks of Paid Family Bonding Leave (Maternity and Paternity)
  • Incredible medical, dental, and vision benefits options to allow you to customize to you and your family’s needs that all start on your first day of employment
  • Flexible Spending Account (FSA) & Health Savings Account (HSA)
  • 401K with company match program
  • Short-Term & Long-Term Disability
  • Commuter Flexible Spending Account (i.e. Transit or Parking)
  • Supplemental Life and AD&D Insurance
  • Auto & Home Insurance Group Life Insurance
  • Critical Illness, Injury and Hospital Insurance 
We believe in Equal Opportunity

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Top Skills

Docker
Git
Python
SQL

Similar Jobs

Yesterday
Remote or Hybrid
United States
141K-262K Annually
Senior level
141K-262K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Staff Machine Learning Engineer will build and manage production-grade ML systems, focusing on scalable model development, deployment, and governance within the AI Platform team.
Top Skills: AirflowAWSCloudbeesGoGrafanaJavaJenkinsKafkaPrometheusPythonSnowflake
Yesterday
Remote or Hybrid
Santa Clara, CA, USA
173K-303K Annually
Senior level
173K-303K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
As a Staff Machine Learning Engineer, you'll develop and enhance large language models, collaborate in research, and creatively solve real-world challenges, impacting enterprise solutions and models.
Top Skills: AIDeep LearningMachine LearningPython
Yesterday
Remote or Hybrid
Santa Clara, CA, USA
164K-286K Annually
Senior level
164K-286K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
As a Staff AI/ML Software Engineer, you'll develop ML models, data pipelines, and algorithms, optimizing personalization and retrieval systems while collaborating across teams.
Top Skills: AWSAzureGCPJavaKafkaKubernetesLightgbmPythonPyTorchScalaSparkSpring BootTensorFlowXgboost

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account