[Remote] Lead Machine Learning Engineer, Lifetime Value

Note: The job is a remote job and is open to candidates in USA. Root Inc. is a disruptive insurance company focused on improving customer experiences through innovative insurance solutions. They are seeking a Lead Machine Learning Engineer to build scalable machine learning systems that support high-impact decisions across various business functions, enhancing the reliability and operational maturity of their ML ecosystem.ResponsibilitiesBuild and improve the systems that power customer lifetime value modeling, from development and deployment through monitoring and production supportPartner with data scientists to productionize statistical models, simulations, and forecasting workflows that support decision-making across the businessAccelerate the path from research to production through scalable infrastructure, reliable workflows, and reusable toolingImprove the ML development experience by building better operational patterns and advancing production-ready ML practicesDevelop tools and services that help stakeholders evaluate model performance, understand business impact, and trust model outputs in productionCollaborate with technical and business partners to solve high-value problems and improve the reliability and scalability of ML systemsShare best practices through mentorship, documentation, and clear communication around technical decisions, tradeoffs, and operational considerationsSkillsBS in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field5+ years of experience designing, building, deploying, and maintaining machine learning systems and ML model pipelines in partnership with data scientistsStrong Python and software engineering fundamentals, with the ability to build maintainable ML systems and production-quality codeExperience building and operating production ML systems, including deployment, monitoring, debugging, and workflow orchestrationAbility to design reproducible systems with clear lineage, versioning, and operational visibility across complex ML workflowsComfort working in ML systems with interconnected components, simulation-driven logic, and embedded business rulesStrong judgment around model evaluation, code quality, system reliability, and maintainable engineering tradeoffsExperience with cloud-based ML infrastructure and data platforms such as AWS, GCP, or AzureExperience with infrastructure as code, such as TerraformClear communication skills and the ability to explain technical tradeoffs to both technical and non-technical audiencesMS or PhD in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative fieldFamiliarity with customer lifetime value forecasting, simulation workflows, or Forecast vs. Actual analysisExperience with insurance or regulated financial productsExposure to ML and data tooling, orchestrators, and platforms such as MLflow, Airflow, Dagster, Snowflake, Databricks, dbt, and SparkExperience building shared ML infrastructure, developer tooling, or reusable systems that improve data science productivityBenefitsEligible for Competitive Bonus & Equity OfferingRoot is a “work where it works best” company, meaning we will support you working in whatever location works best for you across the U.S.Company OverviewRoot Inc. is disrupting the archaic, trillion-dollar insurance industry. It was founded in 2015, and is headquartered in Bloomington, Indiana, USA, with a workforce of 1001-5000 employees. Its website is https://www.root.com.