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.
Manager MLE, Media Localization.
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
.
Meet Our Team:
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.
Roles and responsibilities:
The Manager – Machine Learning Engineering (MLE) will lead a team of Machine Learning Engineers responsible for building, deploying, and operating large‑scale ML systems powering the Merlin platform. This role sits at the intersection of Data Science, ML engineering, platform reliability, and people leadership, with direct impact on production ML workflows used across content intelligence use‑cases.
The role requires strong hands‑on technical depth, experience in designing Data science experiments, building production ML systems, as well as the ability to scale teams, processes, and platforms.
Key Responsibilities
Lead end‑to‑end design and delivery of production‑grade Gen AI based Media processing systems that supports language localization capabilities like Closed Captioning, Language translation, or Dubbing.
Lead data science experimentation by designing experiments, defining success metrics, iterating on model improvements, and transitioning validated approaches into scalable production ML pipelines.
Own architectural design and evolution of ML services, APIs, and pipelines, ensuring scalability, reliability, and extensibility for current and future localization use cases.
Drive model serving excellence, including release management, rollback strategies, performance monitoring, and cost optimisation of ML pipelines.
Establish and operate robust production evaluation frameworks, covering model quality, drift detection, inference performance, and system‑level metrics with and without ground truth.
Lead, mentor, and grow a team of Machine Learning Engineers, setting clear technical direction, delivery standards, and career development paths.
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:
12-15 years total experience with 3+ years of leading and managing a software development team (providing coaching, mentoring, setting goals, and recruiting talent)
Experience in designing machine learning driven, large-scale distributed systems with large scale customer base
Good practical knowledge in modern machine learning lifecycle.
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
Preferred:
Hands-on experience with Computer Vision, ASR or Text-to-Speech technologies.
Working experience with global teams
Data Modeling experience
What We Offer:
A Great Place to work.
Challenging ML problems in Media Domain.
Equal opportunity employer
Fast track growth opportunities
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
www.wbd.com/guiding-principles/
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 of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.
If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our
accessibility page
for instructions to submit your request.
