Staff Machine Learning Engineer

Job Description

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. Our platform covers everything from search, content catalog, and video transcoding, to personalization, global subscriptions, and more. We are committed to delivering unique and quality user experiences, ranging from video streaming to applications across connected TV, mobile, web and consoles. As a pure tech organization, we are essential to Warner Bros. Discovery's continued growth, building world-class streaming products from the ground-up for our iconic brands like HBO Max, Discovery Channel, CNN, Food Network, HGTV, Eurosport, MotorTrend, and many more.

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 productionalization. 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:
• Architect, build and scale a recommendation system that powers a state of the art 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
• Lead architecture improvements for our personalization services and infrastructure
• Collaborate with data scientists, engineers, product teams and other key stakeholders and drive ML projects from conception to completion
• Author, test, review, and optimize production-level code in Python, Go and Java while executing best practices in version control and code integration
• 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

Requirements:
• 6+ years of industry experience, with 3+ years as tech lead experience (preferred)
• Deep practical knowledge of large scale recommender systems, or large scale ML ranking/retrieval/targeting systems
• Knowledge of large-scale distributed application architecture, design, implementation and performance tuning
• Good practical knowledge in modern machine learning lifecycle.
• 5+ 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, be 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

If you're a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at recruitadmin@wbd.com.

Jobcode: Reference SBJ-gpyw2x-18-118-99-234-42 in your application.