Lead ML Engineer I - Lifetime Value Systems & Scale

Root Insurance; United States; Remote; USD 164,000 - 205,000; Full time

Benefits offered by this job

Competitive bonus

Equity offering

Job summary

Root Insurance is seeking a Lead Machine Learning Engineer I to build and enhance the systems for their customer lifetime value modeling ecosystem. This role emphasizes collaboration with data scientists and engineers to advance machine learning capabilities within the company.

The ideal candidate should hold a BS in a related quantitative field, have 5+ years of ML systems experience, and be proficient in Python. Root offers a flexible work environment across the U.S. with a competitive salary range of $164,000 - $205,000.

Qualifications

• 5+ years of experience designing, building, deploying, and maintaining machine learning systems.
• Experience with cloud-based ML infrastructure and data platforms.
• Strong judgment around model evaluation and system reliability.

Responsibilities

• Build and improve systems for customer lifetime value modeling.
• Partner with data scientists to productionize statistical models.
• Develop tools for stakeholders to evaluate model performance.

Skills

Python

Machine learning systems

Statistical modeling

Software engineering fundamentals

Cloud-based ML infrastructure

Education

BS in Computer Science, Statistics, Mathematics, Engineering

Tools

AWS

Terraform

Job description

Root Insurance is seeking a Lead Machine Learning Engineer I to build and enhance the systems for their customer lifetime value modeling ecosystem. This role emphasizes collaboration with data scientists and engineers to advance machine learning capabilities within the company.

The ideal candidate should hold a BS in a related quantitative field, have 5+ years of ML systems experience, and be proficient in Python. Root offers a flexible work environment across the U.S. with a competitive salary range of $164,000 - $205,000.