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Warner Bros. Discovery is seeking a passionate Machine Learning Engineer to join our team and play a pivotal role in building and scaling the Direct-to-Consumer (DTC) personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming applications. In this unique position, you will act as a leader who collaborates seamlessly with modeling and engineering teams to architect a system that serves millions of users worldwide. You will thrive in an environment that fosters innovation through prototyping, development, experimentation, and productionalization. Your role will require a balance between rapid feature iteration and the establishment of a common set of platforms and tools to facilitate quick advancements in the future. As a Machine Learning Engineer, you will be responsible for architecting, building, and scaling a recommendation system that powers a state-of-the-art search and personalization experience for users across Max, HBO, Discovery+, and other Warner Bros. Discovery offerings. You will collaborate with other ML/Ops engineers to develop and enhance core components, infrastructure, and architecture necessary for training, deploying, and serving models at scale. Additionally, you will work closely with data scientists, engineers, product teams, and other key stakeholders to drive machine learning projects from conception to completion, utilizing and building upon open-source cloud computing technologies. Your leadership will extend to participating in strategic planning with engineering leaders, demonstrating good judgment in setting and delivering against strategic goals for the team. You will also mentor and influence engineers across organizations, leading by example with high-quality work and fostering a culture of experimentation and data-driven innovation. Your commitment to advocating for what is right for our customers will be paramount in this role.