Senior Machine Learning Engineer, Personalization
As a Senior Machine Learning Engineer on the Personalization team, you'll shape how players experience our products by building real-time, one-to-one personalization at scale. You'll design and deploy machine learning systems that deepen engagement, improve retention, and drive long-term player value. Working across Engineering, Product, and Analytics teams, you'll turn data into impactful experiences while advancing how we build, deploy, and optimize ML solutions. This role blends hands-on model development with system design and technical leadership in a fast-moving, high-impact environment.
- Lead end-to-end machine learning initiatives focused on improving player engagement and retention, from initial concept through production deployment.
- Build scalable, reusable machine learning pipelines with a focus on reliability, maintainability, and performance.
- Design and manage CI/CD workflows for machine learning using tools like MLflow, Jenkins, and GitOps to enable automated and efficient model deployment.
- Monitor model performance in production, implementing retraining strategies, drift detection, and continuous optimisation.
- Partner with cross-functional teams to translate business goals and user insights into high-impact machine learning solutions.
- Mentor other engineers and help define best practices for machine learning system design, development, and deployment.
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related technical field (required).
- At least 3 years of experience working with machine learning systems in production environments (required).
- Strong proficiency in Python and SQL, with experience working on distributed data platforms such as Spark (required).
- Proven experience delivering production-grade machine learning models that drive measurable business impact (required).
- Hands-on experience with Databricks for managing machine learning workflows, model lifecycle, and collaborative development (required).
- Experience designing experiments and analysing A/B tests to validate and optimise model performance (required).
- Strong communication and collaboration skills, with experience mentoring or leading technical initiatives (required).
DraftKings Inc. is a leading American digital sports entertainment and gaming company, headquartered in Boston, Massachusetts. Founded in 2012, it started in daily fantasy sports and has grown into one of the largest US online sportsbook and iGaming operators. The company offers mobile sports betting, online casino and daily fantasy contests across regulated North American markets. DraftKings is listed on the Nasdaq stock exchange and employs several thousand people.
