Manager, Machine Learning Engineer

Welcome to Warner Bros. Discovery the stuff dreams are made of.

Who We Are

When we say the stuff dreams are made of were not just referring to the world of wizards dragons and superheroes or even to the wonders of Planet Earth. Behind WBDs 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 whats 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 worlds most differentiated and complete portfolio of content brands and franchises across television film streaming and gaming. The new company combines Warner Medias premium entertainment sports and news assets with Discoverys leading non-fiction and international entertainment and sports businesses.

For more information please visit .

Meet Our Team:

When we say the stuff dreams are made of were not just referring to the world of wizards dragons. and superheroes or even to the wonders of Planet Earth. Behind WBDs 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 whats 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 largescale 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 usecases.

The role requires strong handson 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 endtoend design and delivery of productiongrade 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 systemlevel 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 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

If youre 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.