Staff Machine Learning Engineer Job at Warner Media, LLC. in Seattle

Overview

Warner Bros. Discovery is 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. We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as future DTC streaming apps. You will be a leader who can work with modeling and engineering teams to architect systems that serve millions of users worldwide, fostering innovation through prototyping, development, experimentation and productionization.

Our DTC technology and product organization sits at the intersection of tech, entertainment, and everyday utility. We are committed to delivering unique and high-quality user experiences across platforms.

Location: SF Bay Area, New York, Seattle, and other eligible sites.

About You

We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps. You will be in the unique role of acting as a leader who can work seamlessly with modeling and engineering teams and can build and contribute to architecting a system that serves millions of users worldwide. As an engineering leader, you are excited about working in an environment that fosters innovation via prototyping, development, experimentation and productionization. You will bring the right balance between rapid feature iteration and building a common set of platforms and tools to move quickly in the future.

Responsibilities

• Build and scale a recommendation system that powers a state of the art search and personalization experience to users across Max, HBO, Discovery+ and other WBD offerings
• 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 work at the organization level
• Motivate, inspire and create a culture of experimentation and data-driven innovation while advocating for doing what is right for our customers

Requirements

• 8+ years of industry experience
• Deep practical knowledge of ML systems, with information retrieval and ranking algorithms; experience with NLP techniques is a plus
• Knowledge of large-scale distributed application architecture, design, implementation and performance tuning
• Good practical knowledge in modern machine learning lifecycle
• 8+ years of programming experience using Python/Java with ability to rapidly prototype ideas and refine towards production
• Ability to drive roadmap and directions of scalable production quality systems end-to-end
• Excellent written and verbal communications skills, comfortable presenting to large audiences
• Advanced degree (M.S., or Ph.D.), or equivalent industry experience in software engineering, computer science, machine learning or related fields
• Experience with one of the cloud platforms AWS/GCP/Azure
• Experience with CI/CD tools like GitHub Actions, Jenkins etc

How We Get Things Done

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 the company website along with insights from the team on what they mean and how they show up in day-to-day work. 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. We are an equal opportunity employer, and we 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, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

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

In compliance with local law, compensation information is disclosed where required. Pay Range: $145,600.00 - $270,400.00 per year. Base pay is one component of total compensation, which may include bonuses and incentives. Benefits include health insurance, wellness programs, retirement savings, paid holidays and leave. If you have an arrest or conviction record, your application will be considered in accordance with applicable fair chance laws.