Manager, Machine Learning Engineering

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.

Roles & Responsibilities

• We are looking for a passionate Manager 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 and develop robust engineering solutions that utilize machine learning models and algorithms to support personalization.

• Manage project priorities and ensure timely delivery.

• Build and lead a world‑class team of machine learning and full stack engineers.

• Be a hands‑on leader and mentor the team in the latest machine learning technologies and processes.

• Partner closely with business and data science leadership for opportunity sizing and prioritizing product capabilities.

• Partner closely with platform and infra teams to build robust fault tolerant solutions and accelerate the learning cycle.

• Partner closely with downstream application teams to develop a flexible and resilient interface between ML products and downstream applications.

• Partner closely with the ML Platform team to build flexible and resilient interfaces for training, serving and feature needs for personalization products.

• Develop ML Systems roadmap in partnership with Data Science teams, and educate both internal and external stakeholders at all levels to drive resourcing and implementation.

• Develop and evangelize engineering best practices for scoping, building, validating, deploying, and monitoring ML/AI products.

Qualifications & Experience

• Technical education in Computer Science, Information Science, Engineering, or equivalent experience (Master’s degree or higher preferred).

• 8+ years of work experience in developing engineering solutions for Machine Learning and Data Science applications with a proven track record to drive innovation and business impacts.

• 2+ years leading and growing high‑performance engineering teams.

• Familiarity with the practical aspects of machine learning.

• Proficient in both Python and OOP languages including GoLang, Java or C++.

• Experience with Agile methodologies preferred.

• Experience in deploying complex and large‑scale machine learning algorithms and advanced modeling solutions.

• Self‑starter and self‑motivated with the proven ability to deliver results in a fast‑paced, high‑energy environment.

• Strong communication skills and the ability to explain complex engineering systems to non‑technical audience.

• Works effectively with cross‑functional teams to build trusted partnership.

• Experience with recommender/search/ad serving algorithms and systems is a plus.

How We Get Things Done…

This last bit is probably the most important! Here at WBD, 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  along with some insights from the team on what they mean and how they show up in their day to day. 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. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis…