Job Specifications
THE POSITION
Our roster has an opening with your name on it
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.
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 PLAN
Everyone on our team has a part to play
Strategic Leadership
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
Team Leadership
Hire, mentor, and grow a high-performing team of ML engineers
Create a culture of innovation, experimentation, and accountability—fostering best practices in model development, software engineering, and reproducibility
Provide technical and strategic mentorship to elevate the quality and impact of ML projects across the company
ML Engineering at Scale
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
Cross-Functional Collaboration
Serve as a bridge between data scientists, machine learning engineers, and platform engineers—ensuring models move seamlessly from prototype to production
Standardize model governance, performance monitoring, and retraining workflows in collaboration with stakeholders across teams
Translate complex ML capabilities into stakeholder-friendly language and value statements that resonate with business and product leaders
Operational Excellence
Improve development workflows to optimize productivity, observability, delivery speed, and quality
Drive efficiency and performance through effective resource planning and prioritization
Partner with data governance, privacy, and security teams to ensure regulatory compliance and best practices in data handling
THE STATS
What we're looking for in our next teammate
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
Demonstrated ability to lead high-performing teams and manage competing priorities in fast-paced environments
Preferred Skills
Experience supporting data science, or product development teams in a data-driven organization
Familiarity with ML product thinking and customer-centric data delivery
Understanding of machine learning workflows and advanced analytics pipelines
Background in DTC, eCommerce, or B2C digital environments is a plus
About Fanduel
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.
In addition, FanDuel Group operates FanDuel TV, its broadl
About the Company
FanDuel Group is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the North America, FanDuel Group consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media, including FanDuel, Stardust Casino and TVG.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada ...
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