Senior Machine Learning Engineer, Platform

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 Senior Machine Learning Engineer, Platform at DraftKings, you will play a key role in designing, building, and improving the systems that enable scalable, reliable, and efficient data science projects across the company. You will take ownership of complex systems within our ML platform, partner with cross-functional data scientists and engineers, and contribute to the technical direction of our infrastructure. This is a great opportunity for someone who combines deep software engineering or data science skills with experience in machine learning operations (MLOps) and platform thinking.

What you’ll do as a Senior Machine Learning Engineer, Platform

• Lead the design and implementation of components across our ML platform, including model training pipelines, serving infrastructure, feature stores, and monitoring frameworks.

• Drive engineering projects from technical planning through delivery and long-term maintenance.

• Collaborate closely with data scientists, ML engineers, and infrastructure teams to align platform solutions with real-world use cases and evolving business needs.

• Author and review technical designs for infrastructure that supports scalable, automated, and reproducible ML workflows.

• Mentor junior engineers and contribute to raising the technical quality of the team through code reviews, design discussions, and knowledge sharing.

• Contribute to the stability, performance, and observability of our ML systems by designing for production-readiness and supporting incident resolution.

• Stay current with industry trends in MLOps and ML infrastructure and apply emerging best practices to improve platform efficiency and usability.

What you’ll bring

• 4+ years of experience in ML Platform, MLOps, Data Engineering, or Infrastructure roles with a focus on platform development.

• Proficiency in Python and experience with ML/DS libraries (e.g., scikit-learn, pandas, MLflow), along with strong software engineering fundamentals.

• Experience with ML orchestration and CI/CD tooling (e.g., Airflow, MLflow or Jenkins).

• Familiarity with cloud-native infrastructure (AWS, GCP, or Azure), containerization (Docker), orchestration (Kubernetes), and IaC tools (Terraform)

• Experience working with data platforms such as Databricks or Spark, and a strong understanding of distributed data processing is a bonus.

• A track record of owning complex technical projects and collaborating effectively across teams.

• Strong communication skills and the ability to write clear documentation and articulate technical tradeoffs. Bachelor’s or advanced degree in Computer Science, Engineering, Data Science, or a related 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 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.