Warner Bros. Entertainment
Manager, Machine Learning Engineering
Warner Bros. Entertainment, New York, New York, us, 10261
Overview
Manager MLE, Search and Personalization Team: We are looking for a passionate Manager Machine Learning Engineer to support, build and scale the personalization and search platforms for the global streaming app Max as well as ongoing and future streaming initiatives. You will work in a fast-moving environment that fosters engineering and operational excellence with continuous development, deployment, experimentation, quality assurance, and collaboration. You will bring an obsession with our customers along with skills for rapid feature iteration. You will be part of a team of machine learning engineers and applied researchers contributing to a system that serves 100+ million users worldwide. About Warner Bros. Discovery: Warner Bros. Discovery is a premier global media and entertainment company with a differentiated portfolio across television, film, streaming and gaming. For more information, please visit wbd.com. Roles & Responsibilities
Architect and develop robust engineering solutions that utilize machine learning models and algorithms to support personalization. Manage project priorities and ensure timely delivery. Build and lead a world-class team of machine learning and full stack engineers; be a hands-on leader and mentor in the latest ML technologies and processes. Partner with business and data science leadership for opportunity sizing and prioritizing product capabilities. Collaborate with platform and infra teams to build fault-tolerant solutions and accelerate the learning cycle. Develop interfaces between ML products and downstream applications; work with ML Platform to support training, serving and feature needs. Develop ML systems roadmap in partnership with Data Science teams and educate stakeholders to drive resourcing and implementation. Evangelize engineering best practices for scoping, building, validating, deploying, and monitoring ML/AI products. Qualifications
Technical education in Computer Science, Information Science, Engineering, or equivalent experience (Masters degree or higher preferred). 8+ years of experience in ML/Data Science engineering with a proven track record of innovation and business impact. 2+ years leading and growing high-performance engineering teams. Familiarity with practical aspects of machine learning; proficient in Python and OO languages including Go, Java or C++. Experience with Agile methodologies; experience deploying large-scale ML algorithms and modeling solutions. Self-starter with the ability to deliver in a fast-paced environment; strong communication skills to explain complex systems to non-technical audiences; works well with cross-functional teams. Experience with recommender/search/ad serving algorithms is a plus. How We Get Things Done
Our guiding principles are the core values by which we operate and are central to how we get things done. Learn more at wbd.com/guiding-principles/. Championing Inclusion at WBD
WBD is an equal opportunity employer and considers qualified candidates without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, or any other category protected by law. If you require adjustments during the application process, please visit the accessibility page for instructions to submit your request. Pay Range: $145,600.00 - $270,400.00 per year. Base pay is one component of total compensation, which may include bonuses and other rewards. Benefits include health insurance, wellness programs, retirement savings, and paid time off.
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Manager MLE, Search and Personalization Team: We are looking for a passionate Manager Machine Learning Engineer to support, build and scale the personalization and search platforms for the global streaming app Max as well as ongoing and future streaming initiatives. You will work in a fast-moving environment that fosters engineering and operational excellence with continuous development, deployment, experimentation, quality assurance, and collaboration. You will bring an obsession with our customers along with skills for rapid feature iteration. You will be part of a team of machine learning engineers and applied researchers contributing to a system that serves 100+ million users worldwide. About Warner Bros. Discovery: Warner Bros. Discovery is a premier global media and entertainment company with a differentiated portfolio across television, film, streaming and gaming. For more information, please visit wbd.com. Roles & Responsibilities
Architect and develop robust engineering solutions that utilize machine learning models and algorithms to support personalization. Manage project priorities and ensure timely delivery. Build and lead a world-class team of machine learning and full stack engineers; be a hands-on leader and mentor in the latest ML technologies and processes. Partner with business and data science leadership for opportunity sizing and prioritizing product capabilities. Collaborate with platform and infra teams to build fault-tolerant solutions and accelerate the learning cycle. Develop interfaces between ML products and downstream applications; work with ML Platform to support training, serving and feature needs. Develop ML systems roadmap in partnership with Data Science teams and educate stakeholders to drive resourcing and implementation. Evangelize engineering best practices for scoping, building, validating, deploying, and monitoring ML/AI products. Qualifications
Technical education in Computer Science, Information Science, Engineering, or equivalent experience (Masters degree or higher preferred). 8+ years of experience in ML/Data Science engineering with a proven track record of innovation and business impact. 2+ years leading and growing high-performance engineering teams. Familiarity with practical aspects of machine learning; proficient in Python and OO languages including Go, Java or C++. Experience with Agile methodologies; experience deploying large-scale ML algorithms and modeling solutions. Self-starter with the ability to deliver in a fast-paced environment; strong communication skills to explain complex systems to non-technical audiences; works well with cross-functional teams. Experience with recommender/search/ad serving algorithms is a plus. How We Get Things Done
Our guiding principles are the core values by which we operate and are central to how we get things done. Learn more at wbd.com/guiding-principles/. Championing Inclusion at WBD
WBD is an equal opportunity employer and considers qualified candidates without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, or any other category protected by law. If you require adjustments during the application process, please visit the accessibility page for instructions to submit your request. Pay Range: $145,600.00 - $270,400.00 per year. Base pay is one component of total compensation, which may include bonuses and other rewards. Benefits include health insurance, wellness programs, retirement savings, and paid time off.
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