Senior Machine Learning Engineer, Sportsbook

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 Senior 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 Senior 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.
• 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 134,400.00 USD - 168,000.00 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.

About Us

DraftKings Inc. (Nasdaq: DKNG) is a digital sports entertainment and gaming company. It’s simple, at DraftKings, we believe life’s more fun with skin in the game. For that reason, we’re committed to responsibly creating the world’s favorite games and betting experiences. Headquartered in Boston, with offices around the globe, we believe we can continue to define what it means to be a technology company in sports entertainment. We love what we do, and think you will too.