Lead Machine Learning Engineer, Platform

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 Lead Machine Learning Engineer, you’ll shape the future of AI and machine learning at DraftKings by designing scalable infrastructure and tooling that empowers teams to deliver production-grade AI systems. You’ll be a hands-on technical leader, collaborating across engineering, data science, and product to set best practices, standardize workflows, and ensure reliability from model training to real-time inference. If you're excited by cutting-edge AI and want to drive platform innovation at scale, this is your opportunity to make a meaningful impact.

What You’Ll Do As A Lead Machine Learning Engineer, Platform

• Support platform and infrastructure tooling for AI and Data Science teams by managing infrastructure code and providing enablement support.
• Lead high-impact technical initiatives that evolve our ML infrastructure with a focus on scalability, observability, automation, and lifecycle management.
• Design and implement real-time streaming architectures to power real-time ML, AI, and analytics applications.
• Champion engineering and MLOps best practices, including containerization, CI/CD, monitoring, and testing frameworks.
• Define and advocate for robust frameworks and standards to build and operate ML systems at scale.
• Collaborate cross-functionally with teams including Data Science, Data Platform, and Cloud Platform to align on strategy, scope, and technical priorities.
• Mentor engineers, fostering a culture of technical excellence, innovation, and continuous learning.

What You’Ll Bring

• At least 5 years of experience building and scaling production-grade ML or data platforms.
• Deep expertise in cloud-based environments such as AWS and Databricks.
• Proven knowledge of MLOps methodologies, including CI/CD, containerization, orchestration, model deployment, model observability, and feature stores.
• Strong cross-functional communication and collaboration skills, with a demonstrated ability to align technical vision across multiple teams.
• A passion for mentoring and a drive to stay on the cutting edge of ML infrastructure and AI technologies.
• Bachelor’s or Master’s Degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field.

Join Our Team

We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.

The US base salary range for this full-time position is 152,000.00 USD - 190,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.