FanDuel
Director of Machine Learning Engineering
We 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. Responsibilities
Define and execute the strategy for machine learning services across the company, aligning with business goals and customer needs Establish a vision and roadmap for scalable ML infrastructure, model lifecycle management, and ML-powered product capabilities Partner with data science, data product, engineering, and executive leadership to identify and prioritize ML use cases that deliver clear business value Requirements
8+ 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 learning Proven 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 performance Experience working with cloud platforms such as AWS, GCP, or Azure Excellent communication skills with the ability to influence technical and non-technical audiences FanDuel 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 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. The applicable salary range for this position is $197,000 - $246,000 USD.
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We 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. Responsibilities
Define and execute the strategy for machine learning services across the company, aligning with business goals and customer needs Establish a vision and roadmap for scalable ML infrastructure, model lifecycle management, and ML-powered product capabilities Partner with data science, data product, engineering, and executive leadership to identify and prioritize ML use cases that deliver clear business value Requirements
8+ 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 learning Proven 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 performance Experience working with cloud platforms such as AWS, GCP, or Azure Excellent communication skills with the ability to influence technical and non-technical audiences FanDuel 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 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. The applicable salary range for this position is $197,000 - $246,000 USD.
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