Senior Machine Learning Engineer - (AI/ML Team), Bangalore

3 Months ago • 5-8 Years • Editorial

About the job

Job Description

Senior ML Engineer role at Warner Bros. Discovery, Bangalore. Build ML solutions for content & ad platform with 5+ years experience in ML, Java/Golang/Python/Scala, AWS/GCP, Sagemaker/Vertex AI.
Must have:
  • Machine Learning
  • AWS/GCP
  • ML Pipelines
  • Java/Golang/Python/Scala
Good to have:
  • Distributed Systems
  • Modern ML
  • A/B Testing
  • Data Processing
Perks:
  • Great Place
  • Fast Track Growth
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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.

Senior ML Engineer -(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 & Responsibilities:

  • The role will focus on building out machine learning solutions for WBD’s content and Ad platform. Primary focus will be on 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 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.

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

  • Build end to end ML pipelines to train, deploy and server ML models at scale.

  • 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:

  • 5-8 years of experience designing, building machine learning algorithms and systems.

  • Proficiency in programming languages such as Java, Golang, Python or Scala.

  • Working experiemce in AWS or GCP and ML platforms like sagemaker or Vertex AI.

  • Good understaning of distributed systems, alogorithms and data structures.

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

  • Strong understanding of modern ML approaches (GBDT, CNN, LSTM, GRU, HRNN, transformers, variational auto-encoders, ...).

  • Experience using of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark,...).

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

  • Experience with offline experimentation and A/B testing.

  • Understanding of batch and streaming data processing techniques.

  • PhD or Masters 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 and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at recruitadmin@wbd.com.

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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 

Toronto, Ontario, Canada (Hybrid)

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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