Warner Bros. Discovery is seeking a Staff Machine Learning Engineer to lead the development of personalization systems for their streaming platforms, including Max. This role combines technical leadership with hands-on engineering, focusing on building scalable recommendation systems that serve millions of users worldwide.
The position offers an opportunity to work at the intersection of entertainment and technology, building next-generation personalization systems for one of the world's largest media companies. You'll be responsible for architecting and implementing recommendation systems that power search and personalization across multiple streaming platforms including Max, HBO, and Discovery+.
The ideal candidate will bring deep expertise in search systems, machine learning, and distributed systems, along with strong leadership capabilities. You'll work with cutting-edge technologies and lead teams in building scalable solutions that directly impact user experience for millions of viewers globally.
This role offers competitive compensation ($145,600 - $270,400) and the opportunity to work in a hybrid environment across major tech hubs (Seattle, San Francisco, New York). You'll be part of a company that values innovation, experimentation, and data-driven decision making, while working on problems at the forefront of content personalization and recommendation systems.
The position requires both technical excellence and leadership skills, as you'll be mentoring other engineers while driving technical decisions that shape the future of WBD's streaming platforms. This is an ideal role for someone who wants to combine machine learning expertise with large-scale software engineering, while working with some of the most recognized entertainment brands in the world.