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Staff Machine Learning Engineer - (AI/ML Team), Bangalore
Staff Machine Learning Engineer - (AI/ML Team), Bangalore-January 2024
Bangalore
Jan 18, 2025
ABOUT WARNER BROS. DISCOVERY
Warner Bros. Discovery is a premier, global entertainment company focused on offering the most dynamic media & streaming experience in the world.
10,000+ employees
Technology, Engineering
VIEW COMPANY PROFILE >>
About Staff Machine Learning Engineer - (AI/ML Team), Bangalore

  Every great story has a new beginning, and yours starts here.

  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.

  Staff Engineer - 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 & 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 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.Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.)Lead design and development of machine learning systems.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:

  9-13 years of experience designing, building machine learning algorithms and systems.Strong understanding of modern ML approaches (GBDT, CNN, LSTM, GRU, HRNN, transformers, siamese neural networks, variational auto-encoders, ...).Experience with Deep Learning,NLP, LLMs, Reinforcement Learning, Causal Inference. good knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark,...).Proficiency in programming languages such as Python or Scala.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.Proficiency in operating machine learning solutions at scale, covering the end-to-end ML workflow.Understanding of batch and streaming data processing techniques.Knowledge of AWS or similar cloud platforms.PhD or Masters in Computer Science or related discipline.

  What We Offer:

  A Great Place to work.Equal opportunity employerFast 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.

  The Legal Bits...

  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 [email protected].

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