Join Warner Bros. Discovery – Where Dreams Come Alive

Welcome to Warner Bros. Discovery, a powerhouse of creativity and innovation. When we say, “the stuff dreams are made of,” we’re talking about more than just wizards, dragons, and superheroes, or the wonders of Planet Earth. Behind our vast portfolio of iconic content and beloved brands are the storytellers, creators, and dreamers shaping the future of entertainment.

About Warner Bros. Discovery

WBD offers career-defining opportunities, curated benefits, and the tools to help you grow into your best self. Here, you are supported, celebrated, and empowered to thrive. From brilliant creatives to technology trailblazers worldwide, Warner Bros. Discovery provides the platform for you to excel.

About the Role: Machine Learning Engineer

Are you a passionate Machine Learning Engineer eager to build and scale DTC personalization systems for our new global streaming app, Max, and future DTC streaming apps? If you thrive in an innovative environment that values rapid prototyping, development, experimentation, and productionalization, this role is for you.

You will join a team of dedicated machine learning engineers and applied researchers to architect and enhance systems that serve millions of users globally.

Key Responsibilities

• Design and scale a recommendation system for a state-of-the-art personalization experience across Max, HBO, Discovery+, and other WBD offerings.
• Collaborate with ML/Ops engineers to enhance core components, infrastructure, and architecture for training, deploying, and serving models at scale.
• Lead architectural improvements for our personalization services and infrastructure.
• Work with data scientists, engineers, product teams, and other stakeholders to drive ML projects from conception to completion.
• Author, test, review, and optimize production-level code in Python, Go, and Java, following best practices in version control and code integration.
• Leverage and contribute to open-source cloud computing technologies.
• Support engineering leaders in strategic planning, demonstrating excellent judgment in setting and achieving strategic goals.
• Inspire a culture of experimentation and data-driven innovation, prioritizing our customers' needs.

Requirements

• 2+ years of industry experience as a software engineer or machine learning engineer preferred.
• 4+ years of programming experience in Python, Java, or Go, with a knack for rapid prototyping and refining ideas for production.
• Experience with cloud platforms (AWS/GCP/Azure).
• Proficiency in SQL and relational databases.
• Familiarity with CI/CD tools like GitHub Actions, Jenkins, etc.
• Experience in design, implementation, and performance tuning.
• Knowledge of large-scale distributed application architecture and modern ML lifecycle practices is a plus.
• Understanding of large-scale recommender systems, ML ranking, retrieval, targeting systems, and familiarity with A/B testing and hypothesis testing preferred.
• Excellent communication skills with the ability to present technical topics to large audiences.
• Advanced degree (M.S.) or equivalent industry experience in software engineering, computer science, machine learning, or related fields.

How We Get Things Done

Our core values guide everything we do at WBD. Discover more about them at and learn how they shape our daily work. We look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery is committed to creating a diverse and inclusive workforce. We are an equal opportunity employer, welcoming candidates regardless of race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, disability, genetic information, marital status, citizenship status, military status, or protected veteran status.

If you need accommodations to search for a job opening or apply for a position, please contact us at .

Compensation and Benefits

In compliance with local laws, we disclose the compensation range for roles in applicable locations: $119,700.00 - $222,300.00 per year. Actual salaries