Joinroot

1 month ago

Lead Machine Learning Engineer I, Lifetime Value

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Lead the development and productionization of lifetime value models and ML workflows. Build scalable infrastructure, partner with data scientists, and accelerate research-to-production while improving reliability and operational maturity of ML systems. Create reusable tooling, provide production monitoring, and communicate tradeoffs to technical and non-technical stakeholders to drive measurable business impact.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and improve the systems that power customer lifetime value modeling, from development and deployment through monitoring and production support
•Partner with data scientists to productionize statistical models, simulations, and forecasting workflows that support decision-making across the business
•Accelerate the path from research to production through scalable infrastructure, reliable workflows, and reusable tooling
•Improve the ML development experience by building better operational patterns and advancing production-ready ML practices
•Develop tools and services that help stakeholders evaluate model performance, understand business impact, and trust model outputs in production

Pay and Benefits

Salary: USD 164,000 - 205,000 annually

Key Requirements

•5+ years of experience designing, building, deploying, and maintaining machine learning systems and ML model pipelines in partnership with data scientists
•Strong Python and software engineering fundamentals, with the ability to build maintainable ML systems and production-quality code
•Experience building and operating production ML systems, including deployment, monitoring, debugging, and workflow orchestration
•Ability to design reproducible systems with clear lineage, versioning, and operational visibility across complex ML workflows
•Experience with cloud-based ML infrastructure and data platforms such as AWS, GCP, or Azure

Experience:5+ yearsInsuranceFintechMl tooling

Education:Bachelor's

Skills:CommunicationMentorshipDocumentationProblem-solvingCollaboration

Languages:English

Tech Stack:PythonAWSGCPAzureTerraformMLflowAirflowDagsterSnowflakeDatabricksDbtSpark

Company Brief

Joinroot

Provides homeowners and renters insurance through a digital, mobile-first platform that offers personalized policies, streamlined quoting, and claims handling designed for modern consumers seeking straightforward coverage and competitive pricing.

Industry: InsurTech

Website

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Joinroot

1 month ago

Lead Machine Learning Engineer I, Lifetime Value

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and improve the systems that power customer lifetime value modeling, from development and deployment through monitoring and production support
•Partner with data scientists to productionize statistical models, simulations, and forecasting workflows that support decision-making across the business
•Accelerate the path from research to production through scalable infrastructure, reliable workflows, and reusable tooling
•Improve the ML development experience by building better operational patterns and advancing production-ready ML practices
•Develop tools and services that help stakeholders evaluate model performance, understand business impact, and trust model outputs in production

Pay and Benefits

Salary: USD 164,000 - 205,000 annually

Key Requirements

•5+ years of experience designing, building, deploying, and maintaining machine learning systems and ML model pipelines in partnership with data scientists
•Strong Python and software engineering fundamentals, with the ability to build maintainable ML systems and production-quality code
•Experience building and operating production ML systems, including deployment, monitoring, debugging, and workflow orchestration
•Ability to design reproducible systems with clear lineage, versioning, and operational visibility across complex ML workflows
•Experience with cloud-based ML infrastructure and data platforms such as AWS, GCP, or Azure

Experience:5+ yearsInsuranceFintechMl tooling

Education:Bachelor's

Skills:CommunicationMentorshipDocumentationProblem-solvingCollaboration

Languages:English

Tech Stack:PythonAWSGCPAzureTerraformMLflowAirflowDagsterSnowflakeDatabricksDbtSpark

Company Brief

Joinroot

Industry: InsurTech

Website