Manager, Software Engineering, AI Enablement & Machine Learning

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.

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.

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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

Your New Role...

The team is composed of multiple squads: a platform squad along with cross-functional squads that leverage the platform to develop products. As the Engineering Manager for a products squad, you will manage 2+ engineers with varied backgrounds and focuses:

• 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

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 incorporate streaming content and add support for OTT
• 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

Your Role Accountabilities...

• Support, coach, mentor, and provide valuable feedback to the individuals you manage to help them excel

• Work with cross-functional partners and stakeholders on activities such as planning, technical strategy, quality and delivery

• Partner with engineers within the team and across the organization to build and integrate machine learning features into our site, apps, and editorial tools

• Lead other engineers on the team by example, code reviews, and coaching, ensuring that code is readable, maintainable, scalable, observable, and resilient

• Champion improvements to developer experience, integrations, and testing processes

• Leverage vended and open-source cloud technologies to reduce maintenance costs and improve efficiencies, ensuring our products remain profitable

• Collaborate with other engineers to develop and enhance core capabilities, infrastructure, and architecture

Here is the approach we value:

• Author, review, and optimize production-quality code that adheres to industry standards an