Director-Machine Learning Engineering

1 Month ago • 18 Years + • Editorial

About the job

Job Description

The Director of Machine Learning Engineering at Warner Bros. Discovery will lead a team responsible for developing and implementing ML solutions across various platforms, including media supply chain, captioning services, and ad conditioning. This role demands expertise in building scalable ML pipelines, leveraging technologies like deep learning and large language models. Responsibilities include recruiting and mentoring team members, ensuring adherence to WBD's technical standards, and collaborating with cross-functional teams to achieve ambitious project goals. The ideal candidate possesses extensive experience in managing ML teams and a proven track record of successfully deploying ML systems at scale.
Must have:
  • 18+ years managing ML teams
  • Experience building scalable ML systems
  • Proficiency in deep learning/Reinforcement Learning
  • AWS/GCP cloud platform knowledge
  • PhD or Master's in Computer Science
Perks:
  • Great Place to work
  • Equal opportunity employer
  • Fast track growth opportunities
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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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About The Company

Applicants – please be advised that all email correspondence by official Warner Bros. Games recruiters will come from the @lith.com, @warnerbros.com or @wbgames.com domains. Our agency recruiters who reach out through LinkedIn will also properly identify themselves as employees of the companies that work with us. All other parties claiming to be our recruiters are not affiliated with Warner Bros. Games, Monolith or any of our studios. Please take care not to share your personal information with these contacts, nor click on any links embedded in their messages. If you have any questions, you can reach out to us directly at recruiting@wbgames.com.

Warner Bros. Games brings some of the most iconic characters and stories in entertainment to life through videogame development. With multiple world class development studios located across North America and the UK, our teams are made up of top talent in the industry. We strive for an open and collaborative culture where our people can do what they do best – making great games.

Our 11 studios include: 

Warner Bros. Games (Burbank, CA)

linkedin.com/company/warnerbrosgames

Warner Bros. Games San Francisco (San Francisco, CA)

linkedin.com/company/warner-bros-games-san-francisco

Warner Bros. Games San Diego (Carlsbad, CA)

linkedin.com/company/wb-games-san-diego

Warner Bros. Games Boston (Needham, MA)

linkedin.com/company/wbgamesboston

Warner Bros. Games New York (Troy, NY)

linkedin.com/company/wb-games-ny

Warner Bros. Games Montreal (Montreal, CA)

linkedin.com/company/wb-games-montreal-inc-

NetherRealm Studios (Chicago, IL)

linkedin.com/company/netherrealm-studios

Monolith Productions (Kirkland, WA)

linkedin.com/company/monolith-productions

Avalanche (Salt Lake City, UT)

linkedin.com/company/avalanche-software

Rocksteady Studios (London, UK)

linkedin.com/company/rocksteady-studios-ltd

TT Games (Maidenhead, UK)

linkedin.com/company/tt-games-ltd 

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London, England, United Kingdom (On-Site)

Bengaluru, Karnataka, India (Hybrid)

Atlanta, Georgia, United States (On-Site)

Chicago, Illinois, United States (Hybrid)

Bengaluru, Karnataka, India (Hybrid)

Neuilly-sur-Seine, Île-de-France, France (On-Site)

New York, New York, United States (Hybrid)

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