Machine Learning Manager

DraftKings Inc. • Boston, MA

41d

About The Position

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Machine Learning Engineering Manager, you'll lead a high-impact team focused on delivering personalized experiences to millions of customers. You will grow and develop Machine Learning engineers, guide projects from concept to production, and ensure the delivery of scalable, high-performing customer-facing systems. In this role, you'll collaborate with teams across Data Science, Data Engineering, and Platform Engineering to turn models into reliable, high-volume systems. Beyond execution, you'll set strategic direction, foster a culture of innovation, and raise technical standards across the organization.

Requirements

• Bachelor's degree in Computer Science, Machine Learning, or a related field; Master's degree preferred.
• At least 5 years of experience building ML or MLOps systems, including a minimum of 2 years in a formal leadership role.
• Hands-on expertise with ML systems and experimentation frameworks.
• Deep familiarity with modern data and ML platforms like Databricks and MLFlow.
• Proven experience with containerization, CI/CD (e.g., Jenkins), model serving, and observability tools (e.g., Monte Carlo, DataDog).
• Strong understanding of the software development lifecycle and ability to guide teams through successful delivery cycles.
• Excellent collaboration and communication skills; adept at influencing across functions and levels.

Nice To Haves

• Experience in the gaming, entertainment, or digital marketing space is a strong plus.

Responsibilities

• Lead and mentor a high-performing team while contributing directly as an individual contributor.
• Accelerate model development and deployment across key marketing applications.
• Define best practices for reliability, observability, scalability, and repeatability in ML systems.
• Champion software engineering and MLOps best practices including containerization, CI/CD, monitoring, and testing.
• Collaborate cross-functionally with Data Science, Cloud Platform, Data Engineering, and Marketing Platform teams.
• Align your team’s roadmap with broader marketing and business goals, setting clear priorities and delivering against them.
• Conduct regular performance reviews, offer actionable feedback, and support team development and growth.
• Stay ahead of trends in ML, personalization, and gaming to keep our company at the forefront of innovation.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees