Machine Learning Engineer

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

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.

We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.

To see what it’s like to work at CNN, follow @WBDLife on Instagram and X!

With deep domain expertise, advanced technical capabilities, and a proven track record of successful collaborations, the AI Enablement & Machine Learning team at CNN is accelerating our digital transformation through strategic applications of machine learning and AI technologies. Our current products include popular, related and personalized content recommendations, contextual ad targeting, and site search serving millions of CNN users via CNN web and mobile apps.

Within the next quarter, we will be launching summarization and classification features with chat to follow early next year.

We have a variety of specializations and collaborate closely, enhancing our platform and adding to the suite of machine learning features running on it.

• Machine learning engineers (MLEs) build models and features
• Data engineers fulfill the availability and latency requirements provided by MLEs
• Some software engineers partner with MLEs to operationalize and expose models and features
• Other software engineers focus on our ML platform and tooling, including A/B testing

Here are some of the key challenges the team will tackle in next couple of quarters:

• Content Summaries
  :
  Support testing and adoption of various types of content summaries from multiple domains, which can be leveraged in consumer experiences along with embedding generation and classification.
• Two-Tower Experimentation
  :
  Explore options for incorporating additional user context in our personalized recommendations model such as geolocation, time of day and time of year
• All Access Search
  :
  Partner with teams across CNN to design and build a roadmap for CNN streaming content search.
• Bandit Foundation
  :
  Enhance data access and begin experimenting with bandits for online ranking of recommendations
• Optimize Site Performance
  :
  Dynamically deliver personalized content alongside cached assets, improving load times and enhancing user experience with features like page-level deduplication

As a Staff MLE, you will work across our team and collaborate with engineering leads on other teams to drive technical excellence, facilitate growth and promote an inclusive and supportive engineering culture.

• Design and deliver ML components within our services against product requirements—explore data, identify gaps, and prepare it for machine learning models
• Implement model training processes on a schedule in production with monitoring and validation to assess model and system performance
• Take full ownership of problems with ML scope—devise solutions based on limited information, adapt existing approaches, and use judgment to select the right course of action. Help others understand ML components within our larger systems and products
• Design components and systems architecture, driving technical decisions that create functional-level impact and deliver complex features in partnership with platform engineers
• Be passionate about software engineering with a strong sense of responsibility for the code you and your team write, delivering high-quality results that improve with each iteration. Author, test, review, and optimize…