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.

Senior Staff MLE, Search & Personalization

About Warner Bros. Discovery

Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.

For more information, please visit www.wbd.com

Roles & Responsibilities

We are looking for a passionate Senior Staff Machine Learning engineer to support, build and scale the personalization and search platforms for the global streaming app Max as well as ongoing and future streaming initiatives. You are excited about working in a fast-moving environment that fosters engineering and operational excellence with continuous development, deployment, experimentation, quality assurance, and collaboration. You will bring an obsession with our customers along with skills for rapid feature iteration. In your role, you will be working in a team of passionate machine engineers and applied researchers contributing to a system that serves 100+ million users worldwide.

• Architect, build and scale a recommendation system that powers a state of the art search & personalization, and machine learning experience to users across Max, HBO, Discovery+ and other WBD offerings
• Influence and guide groups of engineering teams on optimal design patterns and strategies for improvement over time
• Collaborate with other ML/Ops engineers to develop and improve core components, infrastructure and architecture to train, deploy and serve models at scale
• Collaborate with data scientists, engineers, product teams and other key stakeholders and drive ML projects from conception to completion
• Use and build upon open-source cloud computing technologies
• Participate and support engineering leaders in strategic planning and demonstrate good judgment in setting and delivering against strategic goals for the team
• Mentor, influence engineers across organizations and lead by example with high quality examples of your work at the organization level
• Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers

What To Bring

• 9+ years of industry experience
• 9+ years of experience contributing to machine learning driven, large-scale distributed systems with large scale customer base
• Good practical knowledge in modern machine learning lifecycle.
• Very strong architectural and design skills
• 9+ years of programming experience in Python
• Ability to technically collaborate with partners
• Excellent written and verbal communications skills, be comfortable to contribute to technical documentation and on-call support
• Experience with one of the cloud platforms AWS/GCP/Azure
• Good understanding of machine learning platform
• Experience with CI/CD tools like GitHub Actions, Jenkins etc.
• Experience with Docker and Kubernetes.
• Familiarity with agile practices and processes

Preferred:

• Hands-on experience on machine learning platform
• Understanding of distributed systems and networking
• Working experience with global teams
• Programming experience in Java/Go
• Data Modeling experience

What We Offer

• A Great Place to work