Staff Machine Learning Engineer - Doma｜Meet.jobs

132k - 198k USD Annually

About the Role

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

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