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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.

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 (http://instagram.com/wbdlife) and X (http://twitter.com/wbdlife) !

About the Team

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 learn ing

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 launchi ng

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

About the Job

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 production - quality code, following

bes t practices including version control, and continuous delivery

• Communicate effectively across different audiences — whether through technical

documentation, code reviews, design reviews, or interactions with stakeholders and

adjacent teams

• Embrace failure as a learning opportunity — use research and experimentation to

choose the best solutions that meet company goals, moving autonomously from

proof - of - concept to production release

The Essentials

• Bachelor's Degree AND 5+ years of related experience or Master's Degree AND 3 years of related experience, in Computer Science, Electrical or Computer

Engineering, or related field AND 3+ years related experience with machine

learning, artificial intellig ence, statistics, predictive analytics, research)

• 5+ years of industry software engineering experience in one or more languages,

preferably with extensive python experience

• 3+ years experience developing and deploying AI/ML products or systems at

multiple stages in the product cycle from ideation and proof of concept to

deployment, monitoring, and iteration

The Nice to Haves

• Experience with NLP, information retrieval, or Recommendation Systems

• Understanding of experimentation frameworks and A/B testing methodologies

• Experience with data pipelines, feature stores, or embedding infrastructure

• Background in media, publishing, or content recommendation systems

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 a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page (https://careers.wbd.com/global/en/accessibility) for instructions to submit your request.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $145,600.00 - $270,400.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.