Job Details

Overview

Welcome to Warner Bros. Discovery. We are a premier global media and entertainment company offering audiences a differentiated portfolio of content, brands and franchises across television, film, sports, news, streaming and gaming. Our mission is simple: to be the world's best storytellers with world-class products for consumers. From brilliant creatives to technology trailblazers and beyond, join us as we step into the next chapter.

Warner Bros. Discovery's DTC technology and product organization sits at the intersection of tech, entertainment, and everyday utility. We are continuously leveraging new technology to build immersive and interactive viewing experiences across search, content catalog, video transcoding, personalization, global subscriptions, and more. We are committed to delivering unique and quality user experiences for streaming products across platforms.

Senior MLE, Personalization, Content Discovery

About You

We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization models and algorithms for our new global streaming app, Max, as well as any future DTC streaming apps. You are excited about working in an environment that fosters innovation via prototyping, development, experimentation, and productionization. You will balance rapid feature iteration with building a common set of platforms and tools to move quickly in the future. In your role, you will work alongside a team of machine learning engineers and applied ML researchers to contribute to planning and architecting a system that serves millions of users worldwide.

Responsibilities

• Architect, build and scale a recommendation system that powers the state-of-the-art personalization experience to users across Max, HBO, Discovery+ and other WBD offerings
• Collaborate with ML/Ops engineers to develop and improve core components, infrastructure and architecture to train, deploy and serve models at scale
• Collaborate with other data scientists, engineers, product teams and stakeholders and drive ML projects from conception to completion
• Author, test, review, and optimize production-level code in Python, Go and Java while following best practices in version control and code integration
• Use and build upon open-source cloud computing technologies
• Participate in strategic planning and demonstrate good judgment in delivering against team goals
• Mentor, influence engineers across the organization and lead by example with high-quality work
• Foster a culture of experimentation and data-driven innovation while advocating for what is right for customers

Requirements

• 4+ years of industry experience in Machine Learning, with 3+ years leading organization-wide projects with multiple stakeholders
• Deep practical knowledge of the modern ML lifecycle
• Deep practical knowledge of large-scale recommender systems or large-scale ML ranking/retrieval/targeting systems; familiarity with A/B tests and hypothesis testing is preferred
• Experience with design, implementation, and performance tuning of ML models
• 4+ years of programming experience in Python/Java/Go with ability to prototype quickly and move to production
• Experience with one or more cloud platforms (AWS/GCP/Azure)
• Strong SQL and relational database knowledge
• Experience with CI/CD tools like GitHub Actions, Jenkins, etc.
• Excellent written and verbal communication skills; comfortable presenting to large audiences
• Advanced degree (M.S.) or equivalent industry experience in statistics, computer science, machine learning or related fields

How We Get Things Done

This last bit is probably the most important. Our guiding principles are the core values by which we operate and are central to how we get things done. Learn more at www.wbd.com/guiding-principles/ and review team insights during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces building a workforce that reflects a wide array of perspectives, backgrounds and experiences. We are an equal opportunity employer and consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, disability, and other protected categories by law.

If you require adjustments or accommodations during the application process, please visit our accessibility page for instructions to submit your request.

In compliance with local law, compensation information is disclosed where required. Base pay range: $132,300.00 - $245,700.00 per year. Actual salaries vary based on market data, location, experience, and performance. This package includes additional rewards and a variety of benefits such as health insurance, wellness programs, retirement savings, holidays, and paid time off.

If you're a qualified candidate with an arrest or conviction record, your application will be considered in accordance with local fair chance laws.