Manager, Machine Learning Engineering - Video AI Team, Bangalore

As a Manager Machine Learning Engineer at Warner Bros. Discovery, you will play a crucial role in supporting, building, and scaling the personalization and search platforms for the global streaming app Max and other streaming initiatives. You will work in a fast-paced environment that promotes engineering and operational excellence, continuous development, deployment, and collaboration. Your primary focus will be on enhancing user experience through recommendation systems and machine learning operations. Here are your key responsibilities: - Contribute to building and scaling a recommendation system that enhances personalization across Max, Discovery+, and other WBD offerings. - Collaborate on building machine learning systems and operations for personalization. - Work with applied data science engineers to improve the quality, stability, and resilience of search and personalization platforms. - Drive observability, scalability, cost optimization, and performance tuning of recommendation services and models. - Collaborate with platform, content, user data, and product partners as Max expands globally. - Create a culture of experimentation and data-driven innovation while advocating for customer-centric solutions. Qualifications required for this role include: - Total 12-15 years of experience with at least 3 years of leading and managing a software development team. - Experience in contributing to machine learning-driven, large-scale distributed systems with a significant customer base. - Practical knowledge in the modern machine learning lifecycle. - Ability to collaborate technically with partners and contribute to technical documentation. - Proficiency in cloud platforms such as AWS/GCP/Azure, Docker, Kubernetes, and CI/CD tools. - Understanding of machine learning platforms, agile practices, and processes. Preferred qualifications include hands-on experience with machine learning platforms, working experience with global teams, front-end development using frameworks like ReactJS, programming skills in Python, and data modeling experience. Warner Bros. Discovery offers a great place to work with equal opportunity for all employees and fast-track growth opportunities. The company values inclusion and diversity, striving to build a workforce that represents various backgrounds and experiences. For more insights into Warner Bros. Discovery's guiding principles and values, visit www.wbd.com/guiding-principles/. If you require accommodations during the job application or recruitment process, please refer to the accessibility page on the company's website. As a Manager Machine Learning Engineer at Warner Bros. Discovery, you will play a crucial role in supporting, building, and scaling the personalization and search platforms for the global streaming app Max and other streaming initiatives. You will work in a fast-paced environment that promotes engineering and operational excellence, continuous development, deployment, and collaboration. Your primary focus will be on enhancing user experience through recommendation systems and machine learning operations. Here are your key responsibilities: - Contribute to building and scaling a recommendation system that enhances personalization across Max, Discovery+, and other WBD offerings. - Collaborate on building machine learning systems and operations for personalization. - Work with applied data science engineers to improve the quality, stability, and resilience of search and personalization platforms. - Drive observability, scalability, cost optimization, and performance tuning of recommendation services and models. - Collaborate with platform, content, user data, and product partners as Max expands globally. - Create a culture of experimentation and data-driven innovation while advocating for customer-centric solutions. Qualifications required for this role include: - Total 12-15 years of experience with at least 3 years of leading and managing a software development team. - Experience in contributing to machine learning-driven, large-scale distributed systems with a significant customer base. - Practical knowledge in the modern machine learning lifecycle. - Ability to collaborate technically with partners and contribute to technical documentation. - Proficiency in cloud platforms such as AWS/GCP/Azure, Docker, Kubernetes, and CI/CD tools. - Understanding of machine learning platforms, agile practices, and processes. Preferred qualifications include hands-on experience with machine learning platforms, working experience with global teams, front-end development using frameworks like ReactJS, programming skills in Python, and data modeling experience. Warner Bros. Discovery offers a great place to work with equal opportunity for all employees and fast-track growth opportunities. The company values inclusion and diversity, striving to build a workforce that represents various backgrounds and experiences. For more insights into Warner Bros. Discovery's guid