Staff Machine Learning Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $165.2k - $236.3k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Doma

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2016

🛡️ Insurance

💼 Consulting

💸 Finance

Insurance • Consulting • Finance

Doma is a company that specializes in technology solutions and title insurance services for lenders, point-of-sale providers, and the mortgage industry. Acquired by Title Resources Group (TRG) on September 27th, 2024, Doma operates as a sister company under the TRG umbrella, with a focus on providing unmatched underwriting services and supporting agency revenue growth. The company, previously known as North American Title Company, offers settlement services across various states and continues to prioritize customers and partners as part of its mission.

📋 Description

• Design, build, and maintain scalable ML systems across the full model lifecycle, from data ingestion and training through deployment, monitoring, and retraining • Serve as a go-to expert in title risk and underwriting • Explore ways to reduce model losses, improve projected-loss fidelity, and identify new domain risks • Collaborate with data engineers, product teams, and domain experts to translate business goals into production ML solutions • Conduct ad-hoc analyses and experimentation to inform modeling decisions and stakeholder strategy • Own complex, ambiguous projects end to end and work directly with product and senior leadership

🎯 Requirements

• 6+ years developing and deploying models in cloud-based production environments • MLOps and engineering best practices • Proficiency in Python, SQL, Git, and Docker • Depth in supervised learning on tabular data, including feature engineering, class imbalance, label definition, and threshold selection • Experience monitoring and evaluating production models over time, including degradation, drift, and error rates • Strong applied statistics and ability to decompose metric changes into drivers • Track record of reviewing analyses, catching problems, and raising quality standards • Fluent use of current LLM-based coding and analysis tools, with informed opinions about their strengths and limitations • Track record owning complex, ambiguous projects end to end • Experience working directly with product and senior leadership and challenging incorrect requirements

🏖️ Benefits

• Bonus and equity eligibility • Medical, dental, and vision insurance • 401(k) with company match program • Generous vacation time / Paid Time Off (PTO) • 12 Weeks of Paid Family Bonding Leave (Maternity and Paternity) • Health Savings Account (HSA) • Short-Term & Long-Term Disability • Supplemental Life and AD&D Insurance • Critical Illness, Injury and Hospital Insurance