FanDuel is seeking a Director of Machine Learning Engineering to lead a team 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. The goal is to own the strategy and execution to deliver scalable, production-grade ML services that power key business decisions and customer experiences.
Requirements
- 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
- Understanding of machine learning workflows and advanced analytics pipelines
- Familiarity with ML product thinking and customer-centric data delivery
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
- Lead the development and deployment of end-to-end ML systems—from experimentation and training to inference, monitoring, and continuous learning
- Guide the team in building reusable model components, APIs, and pipelines for personalization, forecasting, fraud detection, and more
- Ensure ML services are highly available, scalable, secure, and cost-efficient—leveraging modern MLOps practices and tooling
- Standardize model governance, performance monitoring, and retraining workflows in collaboration with stakeholders across teams
- Improve development workflows to optimize productivity, observability, delivery speed, and quality
Other
- 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
- Excellent communication skills with the ability to influence technical and non-technical audiences
- Demonstrated ability to lead high-performing teams and manage competing priorities in fast-paced environments
- Background in DTC, eCommerce, or B2C digital environments is a plus
- Employees may be required to perform other such duties as assigned by the Company.
