Machine Learning Engineer

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.

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 experience in AWS or GCP and ML platforms like sagemaker or Vertex AI.

- Good understanding of distributed systems, algorithms 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