Director of Machine Learning Engineering

THE POSITIONOur roster has an opening with your name on itWe are seeking a Director of Machine Learning Engineering to lead a world-class team at the intersection of data science and machine learning engineering. This role is responsible for scaling the development, deployment, and operationalization of advanced machine learning systems across the organization—including personalization, forecasting, optimization, generosity, search and customer segmentation models.You will own the strategy and execution to deliver scalable, production-grade ML services that power key business decisions and customer experiences. This includes partnering closely with data science, engineering, and product teams to align on ML use cases, model performance, infrastructure needs, and long-term reusable architecture.If you’re a visionary leader with deep technical expertise in both data science and ML engineering and are passionate about building reusable ML services that deliver measurable business outcomes at scale—this is the role for you.In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.THE GAME PLANEveryone on our team has a part to playStrategic LeadershipDefine and execute the strategy for machine learning services across the company, aligning with business goals and customer needsEstablish a vision and roadmap for scalable ML infrastructure, model lifecycle management, and ML-powered product capabilitiesPartner with data science, data product, engineering, and executive leadership to identify and prioritize ML use cases that deliver clear business valueTeam LeadershipHire, mentor, and grow a high-performing team of ML engineersCreate a culture of innovation, experimentation, and accountability—fostering best practices in model development, software engineering, and reproducibilityProvide technical and strategic mentorship to elevate the quality and impact of ML projects across the companyML Engineering at ScaleLead the development and deployment of end-to-end ML systems—from experimentation and training to inference, monitoring, and continuous learningGuide the team in building reusable model components, APIs, and pipelines for personalization, forecasting, fraud detection, and moreEnsure ML services are highly available, scalable, secure, and cost-efficient—leveraging modern MLOps practices and toolingCross-Functional CollaborationServe as a bridge between data scientists, machine learning engineers, and platform engineers—ensuring models move seamlessly from prototype to productionStandardize model governance, performance monitoring, and retraining workflows in collaboration with stakeholders across teamsTranslate complex ML capabilities into stakeholder-friendly language and value statements that resonate with business and product leadersOperational ExcellenceImprove development workflows to optimize productivity, observability, delivery speed, and qualityDrive efficiency and performance through effective resource planning and prioritizationPartner with data governance, privacy, and security teams to ensure regulatory compliance and best practices in data handlingTHE STATSWhat we're looking for in our next teammate8+ years of experience in data science, machine learning or data engineering, with 3+ years in a technical leadership or management role with a focus on machine learningProven experience building and managing robust, scalable machine learning pipelines and platforms.Expertise in modern ML and data technologies (e.g., Spark, Airflow, Kubeflow, Databricks, Kafka, TensorFlow/PyTorch, Feast, AWS ML services)Strong track record of partnering with data scientists to bring models into production and optimize performanceExperience working with cloud platforms such as AWS, GCP, or AzureExcellent communication skills with the ability to influence technical and non-technical audiencesDemonstrated ability to lead high-performing teams and manage competing priorities in fast-paced environmentsPreferred SkillsExperience supporting data science, or product development teams in a data-driven organizationFamiliarity with ML product thinking and customer-centric data deliveryUnderstanding of machine learning workflows and advanced analytics pipelinesBackground in DTC, eCommerce, or B2C digital environments is a plusABOUT FANDUELFanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).PLAYER BENEFITSWe treat our team rightWe offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more.FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.The applicable salary range for this position is $197,000 - $246,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com. #J-18808-Ljbffr