DraftKings Inc. logo
DraftKings Inc.

Defining what it means to build and deliver the most extraordinary sports & entertainment experiences.The Crown is Yours

Senior Machine Learning Engineer, Personalization

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 2012Company SiteLinkedIn

Location

Canada

Posted

61 days ago

Salary

0

Seniority

Senior

Bachelor Degree3 yrs expEnglishJenkinsPythonSparkSQL

Job Description

Senior Machine Learning Engineer, Personalization

DraftKings Inc.

• 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.

Job 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

  • Health insurance
  • Flexible working hours
  • Professional development opportunities

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