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Data & ML Platform Engineer Manager
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Robert Half
Remote
$190,000 Salary, Full-Time
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Job Description
Job TitleManager, Data & Machine Learning Platform EngineerCompany OverviewA leading organization in the sports and entertainment industry is redefining the live event and fan engagement experience through data and AI. By leveraging cutting-edge technology and advanced analytics, the organization is building innovative platforms that deliver personalized, seamless experiences for millions of fans.
Role SummaryThis Los Angeles-based role is a hands-on opportunity for a Manager, Data & Machine Learning Platform Engineer to design and build end-to-end data and ML systems that power intelligent products across fan engagement, marketing, and operations. Acting as an individual contributor, you will own the full lifecycle of data and machine learning platforms—from data ingestion to real-time model deployment—enabling scalable, production-ready AI solutions.
Key ResponsibilitiesDesign, build, and maintain scalable data pipelines and ML platform infrastructure for analytics and AI use casesOwn the end-to-end lifecycle of data and ML systems, including ingestion, transformation, feature engineering, deployment, and monitoringDevelop and optimize data models and schemas to support both batch and real-time workflowsBuild and manage feature pipelines and enable low-latency access for real-time decisioning systemsDeploy machine learning models into production via APIs and real-time inference servicesImplement CI/CD pipelines for machine learning workflows, including testing, versioning, and automated deploymentEstablish monitoring systems to track data quality, model performance, and system reliabilityEnable experimentation frameworks such as A/B testing to support data-driven product iterationCollaborate cross-functionally with data scientists, product teams, and business stakeholders to deliver impactful AI solutionsDrive architectural decisions and promote best practices in data engineering and MLOpsCompensation & Benefits$180,000 - $200,000Comprehensive benefits package including medical, dental, and vision coverage401(k) with company contributionAnnual wellbeing allowanceFlexible paid time off and parental leaveCompany-paid life and disability insuranceMental health and wellness support programsFlexible spending accounts and family planning assistanceAdditional DetailsWork model: Hybrid (4 days onsite per week)Core working hours with flexibilityIndividual contributor role (no direct reports)High-impact role contributing to enterprise-wide AI initiatives
Role SummaryThis Los Angeles-based role is a hands-on opportunity for a Manager, Data & Machine Learning Platform Engineer to design and build end-to-end data and ML systems that power intelligent products across fan engagement, marketing, and operations. Acting as an individual contributor, you will own the full lifecycle of data and machine learning platforms—from data ingestion to real-time model deployment—enabling scalable, production-ready AI solutions.
Key ResponsibilitiesDesign, build, and maintain scalable data pipelines and ML platform infrastructure for analytics and AI use casesOwn the end-to-end lifecycle of data and ML systems, including ingestion, transformation, feature engineering, deployment, and monitoringDevelop and optimize data models and schemas to support both batch and real-time workflowsBuild and manage feature pipelines and enable low-latency access for real-time decisioning systemsDeploy machine learning models into production via APIs and real-time inference servicesImplement CI/CD pipelines for machine learning workflows, including testing, versioning, and automated deploymentEstablish monitoring systems to track data quality, model performance, and system reliabilityEnable experimentation frameworks such as A/B testing to support data-driven product iterationCollaborate cross-functionally with data scientists, product teams, and business stakeholders to deliver impactful AI solutionsDrive architectural decisions and promote best practices in data engineering and MLOpsCompensation & Benefits$180,000 - $200,000Comprehensive benefits package including medical, dental, and vision coverage401(k) with company contributionAnnual wellbeing allowanceFlexible paid time off and parental leaveCompany-paid life and disability insuranceMental health and wellness support programsFlexible spending accounts and family planning assistanceAdditional DetailsWork model: Hybrid (4 days onsite per week)Core working hours with flexibilityIndividual contributor role (no direct reports)High-impact role contributing to enterprise-wide AI initiatives