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.

Want to infuse a $34B sector of the insurance and real estate industry with predictive analytics and a tech-forward customer experience? Join Doma and send an entirely new type of real estate model into the world.

About Us 

Doma 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

• 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.
• Solution Driven - We encourage calculated risk-taking, and we know that some of our best learning happens by making mistakes along the way.
• Act with Integrity - We hold ourselves to the highest ethical standards in all of our business practices.
  
  

What you’ll be working on:

• We build machine learning models end-to-end. You will take full ownership of one of our core revenue-generating risk and underwriting models. This will involve any and all of the following workstreams:
• Data collection
• Data pipelines
• Retraining and optimization
• Evaluation
• Inference and serving
• Monitoring and quality assurance
• Other related dev tooling and infrastructure work
• You will conduct ad-hoc analyses, tests and retrospectives on questions related to our models, for delivery to internal stakeholders and external partners/clients
• You will 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
• You will deliver new data science products targeting unexplored areas of the title and escrow workflow, from their inception to their deployment as machine learning models
  
  

Required Qualifications:

• 5 years of professional experience in data science or machine learning engineering
• Strong background in statistics, computer science, machine learning, operations research, or mathematics
• Experience developing and deploying models end to end in a production environment, with proficiency in Python, SQL, Git, Docker
• 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.
  
  

Nice-to-Have Qualifications:

• Experience in the domains of risk, credit, or insurance
• PyTorch, Transformers, LLMs (GPT, Claude, Gemini, Llama, Mistral, etc)
• Airflow, Kubernetes and MLOps
• Business intelligence tools such as Looker
• Cloud platforms such as Azure, AWS, etc
  
  

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

The base salary range for this role is shown below:

$132,100—$236,300 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
• Tuition Reimbursement
• 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 
• Pet 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.