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Manager, Machine Learning Engineering

Warner Bros. Discovery

WA Bellevue 205 108th Avenue NE, Suite S200 | CA San Francisco 153 Kearny Street | NY New York 30 Hudson Yards, US$188k – $349khybrid

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About this role

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.

At HBO Max, storytelling takes center stage. We’re one of the world’s most iconic entertainment brands — home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what’s next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture.

HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally— and we’re just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career— we’re hiring!

Manager, Machine Learning Engineering – Video AI & Studio AI Job Description

What We Do We build next-generation AI systems for video, spanning both large-scale video understanding and creative studio workflows. Our work combines computer vision, multimodal learning, and machine learning to enable capabilities such as scene understanding, metadata generation, visual effects, storyboarding, and color enhancement across media content. We focus on taking ML from research to production, integrating models into real-world systems used by engineering, product, and creative teams. Our goal is to build scalable, high-quality solutions that power both content intelligence and creative workflows.

What You’ll Do • Lead a team of machine learning engineers working on video AI across understanding and creative applications • Stay hands-on, contributing directly to modeling, prototyping, and production systems • Drive execution across the full ML lifecycle: problem definition, modeling, evaluation, and deployment • Partner with product, creative, and engineering teams to define priorities and deliver impactful ML-powered features • Build and scale production-grade ML systems for video understanding and creative workflows • Balance rapid iteration with building robust, scalable systems • Provide technical leadership and mentorship, raising the bar for ML and engineering practices • Collaborate with platform and infrastructure teams to ensure reliable and scalable solutions

Qualifications & Experience • 8+ years of experience in machine learning / software engineering, with a focus on computer vision, video understanding, and gen AI • 2+ years of experience leading or mentoring engineers, with a strong preference for hands-on leadership • Strong experience with deep learning frameworks (e.g., PyTorch, TensorFlow) • Proven track record of building and deploying end-to-end ML systems in production • Strong background in computer vision, video understanding, or multimodal systems • Experience with large-scale datasets and distributed systems • Experience with generative AI techniques (e.g., diffusion, image/video generation) • Strong system design and architecture skills • Ability to operate in ambiguous, fast-moving environments while maintaining execution focus • Strong collaboration and communication skills across technical, product, and creative teams

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, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status 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.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $187,670.00 - $348,530.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, p

Salary insight

The midpoint of this range ($268k) is about 34% above the median disclosed salary for San Francisco roles listed on ForgeApply ($200k across 8,174 jobs).

See full Machine Learning Engineer salary data for San Francisco

Based on live postings with disclosed pay on ForgeApply; refreshed daily. Not an estimate of this employer's offer.

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