Lead Machine Learning Engineer, Sportsbook

We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming.

Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers.

The Crown Is Yours

As a Lead Machine Learning Engineer on the Sportsbook Reinvestment team, you will play a key role in understanding and optimizing how players engage with our Online Sportsbook products over time. You’ll lead the development of machine learning solutions that personalize user experiences and drive long-term player value. This role is a blend of hands-on model development, ML systems design, and cross-functional collaboration — ideal for engineers passionate about building impactful and scalable ML products.

What you’ll do as a Lead Machine Learning Engineer

Lead end-to-end ML projects to improve customer retention and engagement, from ideation to production.

Build and templatize robust ML pipelines with an emphasis on deployment, maintenance, and reusability.

Design and maintain CI / CD pipelines using tools like MLflow, Jenkins and GitOps for automated ML workflows.

Monitor model performance post-deployment and implement retraining and drift detection strategies.

Mentor junior ML Engineers and contribute to team-wide best practices in ML system design and deployment.

Collaborate with cross-functional teams to translate insights into business-impacting ML solutions.

What you’ll bring

Strong Python and SQL skills, with experience working on distributed data platforms like Spark.

Experience leading and coaching other engineers

Proven ability to deliver production-ready ML solutions that drive measurable business outcomes.

Hands-on experience with Databricks for orchestrating ML workflows, managing model lifecycle, and collaborating in a shared development environment.

Experience with experiment design and analyzing A / B tests for model validation and optimization.

Excellent communication and collaboration skills, with a track record of mentoring or technical leadership.

A Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.

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. #J-18808-Ljbffr