Manager, Machine Learning Engineer - Cap Team

Job Description

Manager - MLE, (Content and Ad Platform), Bangalore

About Warner Bros. Discovery:

Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com.

Roles and Responsibilities:

As the Manager of Machine Learning, you will support, build, and scale machine learning systems that drive innovation in content and ad-related AI/ML use cases. You will work closely with a talented team of machine learning engineers and data scientists, collaborating with cross-functional teams across WBD. The focus will be on delivering scalable, resilient solutions across media supply chain, captioning services, ad conditioning, metadata extraction, and ML training and inference pipelines.

You will ensure that ML systems meet the highest standards for performance, scalability, and observability while maintaining a strong focus on continuous improvement. Your role will include:
• Leading the development of machine learning solutions for media and ad tech projects.
• Contributing to building and scaling systems like large-scale content targeting, ad conditioning, metadata extraction, and captioning services.
• Ensuring best practices in ML operations including monitoring, cost optimization, and performance tuning.
• Mentoring and supporting the growth of the team's technical skills, fostering a culture of continuous learning and innovation.
• Collaborating with teams to improve quality, stability, and scalability of AI/ML models and solutions.
• Driving efforts to enable scalable, resilient, and distributed ML workflows at WBD.
• Building partnerships with product, engineering, and research teams to deliver impactful solutions aligned with WBD's strategic objectives.

What to Bring:
• Hands-on experience in machine learning lifecycle including data collection, training, validation, serving, and monitoring.
• Strong practical knowledge of ML models (e.g., computer vision, NLP, personalization) and distributed systems.
• Proven ability to manage teams and drive operational excellence within ML environments.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Experience with CI/CD pipelines and tools such as GitHub Actions/Jenkins.
• Strong collaboration and communication skills, with a passion for solving complex problems.

Preferred:
• Experience with AI/ML use cases in content and advertising (ad targeting, metadata extraction, captioning workflows).
• Working knowledge of real-time ML systems with large-scale customer bases.
• Hands-on experience with machine learning platforms and frameworks.
• Programming experience in languages like Python, Java, or Go.
• Ability to work in a fast-paced, global environment, collaborating across multiple teams and geographies.
• Master's in computer science or related discipline.

What We Offer:
• A Great Place to work.
• Equal opportunity employer
• Fast track growth opportunities

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer

means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Jobcode: Reference SBJ-gwqo3y-18-226-87-143-42 in your application.