
Job Overview
Location
Remote - Canada
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
April 10, 2026
Full Job Description
📋 Description
- • As a Senior Machine Learning Engineer on the Personalization team at DraftKings, you will shape how players experience our products by building real-time, one-to-one personalization at scale, directly impacting engagement, retention, and long-term player value.
- • You will lead end-to-end machine learning initiatives from concept to production, design scalable and reusable ML pipelines, manage CI/CD workflows using MLflow, Jenkins, and GitOps, monitor model performance, and implement retraining and optimization strategies.
- • You will collaborate with Engineering, Product, and Analytics teams to translate business goals into impactful ML solutions while mentoring engineers and defining best practices for ML system development and deployment.
- • DraftKings is a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston, leveraging AI to enhance customer experiences, streamline operations, and drive innovation in the regulated gaming industry.
- • In this role, you will gain hands-on experience with Databricks, Spark, and modern MLops tools, deepen your expertise in production ML systems, and grow as a technical leader in a fast-moving, high-impact environment focused on AI-driven personalization.
Skills & Technologies
About DraftKings Inc.
DraftKings Inc. operates regulated digital sports entertainment and gaming products in North America. Founded in 2012, it offers daily fantasy sports, sports betting, iGaming, and media content through web and mobile platforms. The company holds gaming licenses in multiple U.S. states and provinces, providing real-money wagering on professional and collegiate sports, online casino games, and live-dealer tables. Revenue is generated via entry fees, rake, and sportsbook hold. DraftKings has partnered with major leagues and teams, and it trades on the Nasdaq under DKNG.
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