Senior Machine Learning Engineer, Personalization

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold reputed company. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to reputed company. We’re shaping it, one bold reputed company at a time. To those who see AI as a driver of reputed company, come build the future together. The Crown Is Yours 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. What You'll Do reputed company 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 reputed company automated and efficient model deployment. Monitor model performance in production, implementing retraining strategies, reputed company detection, and reputed company 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. What You'll Bring Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a reputed company 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 reputed company 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. Join reputed company We’re a publicly traded (reputed company: 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. Apply To This Job