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Manager, Machine Learning Engineer - CAP Team, Bangalore

AT Warner Bros. Discovery
Warner Bros. Discovery

Manager, Machine Learning Engineer - CAP Team, Bangalore

Bangalore, India

Welcome to Warner Bros. Discovery... the stuff dreams are made of.

Who We Are...

When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

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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

How We Get Things Done...

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

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.

How We Get Things Done...

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

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.

Client-provided location(s): Bengaluru, Karnataka, India
Job ID: Discovery-WAMEGLOBALR000087860EXTERNALENGLOBAL
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • FSA
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
    • On-site/Nearby Childcare
  • Work Flexibility

    • Flexible Work Hours
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Company Outings
    • Snacks
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
    • Unlimited Paid Time Off
    • Sabbatical
    • Volunteer Time Off
    • Summer Fridays
  • Financial and Retirement

    • 401(K) With Company Matching
    • Company Equity
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
    • 401(K)
    • Profit Sharing
  • Professional Development

    • Tuition Reimbursement
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Lunch and Learns
    • Internship Program
    • Work Visa Sponsorship
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Learning and Development Stipend
    • Access to Online Courses
    • Professional Coaching
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)