Senior Machine Learning Engineer, Personalization

🕒 June 19

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DraftKings Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🎮 Gaming

⚽ Sports

👥 B2C

Gaming • Sports • B2C

DraftKings Inc. is a global company known for providing innovative products and experiences primarily in the sports betting and fantasy sports sectors. The company boasts a strong presence across multiple countries, aiming to deliver exceptional customer moments and overcoming challenges through teamwork and persistence. At DraftKings, innovation in engineering, analytics, and product development is key, with a focus on creating unforgettable customer experiences in sportsbook and casino operations. The company emphasizes a dynamic work culture, inclusion, equity, and global collaboration within its diverse teams.

📋 Description

• 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 optimization. • 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.

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related technical field. • At least 3 years of experience working with machine learning systems in production environments. • Strong proficiency in Python and SQL, with experience working on distributed data platforms such as Spark. • Proven experience delivering production-grade machine learning models that drive measurable business impact. • Hands-on experience with Databricks for managing machine learning workflows, model lifecycle, and collaborative development. • Experience designing experiments and analyzing A/B tests to validate and optimize model performance. • Strong communication and collaboration skills, with experience mentoring or leading technical initiatives.

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities