Senior Machine Learning Engineer, Platform

DraftKings Inc. • Boston, MA

1d

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 Senior Machine Learning Engineer, Platform, you'll help define and scale the infrastructure that powers machine learning across our organization. You'll design and evolve the systems that enable data scientists and engineers to build, deploy, and monitor models with speed and confidence. From production-grade training pipelines to real-time serving architecture, your work will directly accelerate innovation across our platforms. In this role, you'll combine strong software engineering fundamentals with platform thinking to deliver reliable, scalable ML systems that drive measurable impact.

Requirements

• Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field.
• At least 3 years of experience in Machine Learning Platform, MLOps, Data Engineering, or Infrastructure roles with a focus on platform development.
• Strong proficiency in Python and experience with machine learning and data science libraries such as scikit-learn, pandas, and MLflow, along with solid software engineering fundamentals.
• Experience with ML orchestration and CI/CD tooling such as Airflow, MLflow, Argo, GitHub Actions, or Jenkins.
• Familiarity with cloud-native infrastructure in AWS, GCP, or Azure, along with containerization using Docker, orchestration with Kubernetes, and infrastructure as code tools such as Terraform or Pulumi.
• Experience working with distributed data platforms such as Databricks or Spark, with a strong understanding of large-scale data processing.
• A proven track record of owning complex technical projects and collaborating effectively across cross-functional teams.
• Strong written and verbal communication skills, with the ability to document technical decisions and clearly articulate tradeoffs.

Responsibilities

• Lead the design and implementation of core components across the ML platform, including model training pipelines, serving infrastructure, feature stores, and monitoring frameworks.
• Drive engineering initiatives from technical planning through deployment and long-term ownership, ensuring solutions are scalable and maintainable.
• Partner closely with Data Scientists, Machine Learning Engineers, and Infrastructure teams to align platform capabilities with evolving product and business needs.
• Author and review technical designs that enable automated, reproducible, and production-ready machine learning workflows.
• Improve the stability, performance, and observability of ML systems by designing for reliability and supporting incident resolution when needed.
• Mentor junior engineers and elevate team standards through thoughtful code reviews, design discussions, and knowledge sharing.
• Evaluate emerging trends in MLOps and ML infrastructure, applying best practices to continuously improve platform efficiency and usability.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior