Director-Machine Learning Engineering

Bangalore, Global Tech Park Tower C 5th F

Warner Bros. Discovery

Warner Bros. Discovery offers exciting and rewarding career opportunities across a multitude of disciplines. Join us as we step into the next chapter.

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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.

Director - ML (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.

Meet Our Team:

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.

Roles and responsibilities

The role will focus on building and leading a team responsible for unlocking machine learning opportunities in media supply chain, captioning services, ad conditioning, metadata extraction and building foundational machine learning training and inference pipelines at scale. You will lead by example and define the best practices, will set high standards for the entire team and for the rest of the organization. You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments.

  • Responsible for machine learning and data science development for IDC.

  • Recruit and build out teams for applied machine learning org.

  • Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.)

  • Mentor, guide, coach, coordinate training opportunities and support individual growth and technical skills across the engineering teams.

  • Enable continuous learning environment to keep abreast of industry trends. Partner with research organizations and explore innovation opportunities.

  • Leverage industry best practices and tools to continually improve teams' ability to build, operate and maintain products.

  • Ensure that technical solutions are in line with established WBD Digital strategy, standards in respect to architecture, security, corporate governance, coding standards, monitoring, logging, unit test, and service enablement.

What to Bring:

  • 18+ years of experience managing Machine Learning teams.

  • years of experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed machine learning algorithms and systems.

  • Proficiency in operating machine learning solutions at scale, covering the end-to-end ML workflow.

  • Experience in one or more of Deep Learning, Reinforcement Learning, Causal Inference.

  • Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring).

  • Obsession for service observability, instrumentation, monitoring, and alerting.

  • Knowledge of AWS, GCP or similar cloud platforms.

  • PhD or 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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture AWS Causal inference Computer Science Computer Vision Deep Learning Engineering GCP LLMs Machine Learning PhD Pipelines Reinforcement Learning Research Security Streaming Testing

Perks/benefits: Career development Startup environment

Region: Asia/Pacific
Country: India

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