Senior Machine Learning Engineer

DraftKings is seeking a Senior Machine Learning Engineer to join their team of algorithm experts and data science technologists. This role involves designing, refining, and deploying efficient ML pipelines, implementing robust testing frameworks, and optimizing models for production. The engineer will also establish real-time performance tracking, collaborate on scalable ML applications, and lead the adoption of best practices, contributing to innovative data products that drive business growth.

Must Have

• 5+ years of engineering experience
• 2+ years building and operating ML/AI Systems
• Deep understanding of machine learning and statistics
• Skilled in full machine learning lifecycle management
• Expert in Python
• Experience with Databricks, Kubernetes, and Terraform
• Design and refine efficient ML pipelines
• Implement robust testing and statistical analysis frameworks
• Enhance model readiness for production
• Establish real-time performance tracking
• Collaborate within multi-disciplinary teams
• Lead adoption of machine learning best practices

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

Our team comprises algorithm experts and data science technologists, coming together to develop innovative data products that solve analytically challenging problems. As part of this role, you will be a creative thinker, utilizing data, machine learning, and software development skills to craft high-impact solutions that grow the business.

WHAT YOU’LL DO AS A SENIOR MACHINE LEARNING ENGINEER

• Design and refine efficient pipelines for training, evaluating, and deploying machine learning models.
• Implement robust testing and statistical analysis frameworks for validating machine learning model performance.
• Enhance model readiness for production, optimizing computational efficiency, latency, and resource use.
• Establish real-time performance tracking, addressing data drift and model decay for accuracy maintenance.
• Collaborate within multi-disciplinary teams to design, build, and deploy scalable ML applications.
• Lead the adoption of machine learning best practices and innovations, including ethical AI considerations.

WHAT YOU’LL BRING

• 5+ years of engineering experience with 2+ years building and operating ML/AI Systems
• Deep understanding of machine learning and statistics applied to solve real-world challenges successfully.
• Skilled in full machine learning lifecycle management, from data preparation to deployment and monitoring.
• Expert in Python with experience in other languages or tools, beneficial for scaling ML deployments.
• Experience with platform and infrastructure technologies, including Databricks, Kubernetes, and Terraform.
• Excellent leadership and communication skills, capable of influencing within and across teams and stakeholders.
• Committed to ongoing learning and staying current with industry trends and emerging ML technologies.
• Coaching and mentoring other team members, helping them develop.
• The ability to work with autonomy, identifying and actioning technical initiatives.

#LI-SM1

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.

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.

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