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About the Role

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.

Responsibilities

Design, build, and deploy machine learning models for video understanding and multimodal systems
Develop capabilities for creative workflows, including VFX, storyboarding, and color grading
Work across the full ML lifecycle: data processing, model development, evaluation, and production deployment
Improve model quality using fine-tuning, prompt-based methods, and modern vision/language models
Collaborate with engineering, product, and creative partners to integrate ML into production pipelines and user workflows
Contribute to scalable systems for processing and understanding large volumes of video content
Prototype quickly while also building robust, production-ready systems

Requirements

4+ years of experience in machine learning, with a focus on computer vision or video
Master’s or PhD in Computer Science, Machine Learning, or a related field
Strong experience with deep learning frameworks (PyTorch and/or TensorFlow)
Strong programming skills (Python) and solid computer science fundamentals
Experience with video models (e.g., segmentation, tracking, scene understanding, temporal modeling)
Familiarity with multimodal systems (vision + language, embeddings, retrieval)
Familiarity with state-of-the-art image, video, and language models and their application to multimodal tasks
Ability to implement and adapt algorithms from recent research in computer vision (especially video)
Exposure to generative or enhancement techniques (e.g., diffusion, inpainting, color/style transfer)
Experience building end-to-end ML pipelines (data, training, evaluation, deployment)
Experience working with large-scale datasets and distributed systems
Ability to translate ambiguous problems into clear technical solutions
Strong collaboration and communication skills across technical and non-technical teams

Skills

Machine Learning
Computer Vision
Video Understanding
Multimodal Learning
Deep Learning Frameworks (PyTorch, TensorFlow)
Python Programming
Computer Science Fundamentals
Video Models
Multimodal Systems
Image Models
Language Models
Generative Techniques
Enhancement Techniques
ML Pipelines
Large-scale Datasets
Distributed Systems

Location

Los Angeles County

Work Type

Full-time

Experience Level

Senior
4+ years of experience

Education Level

Master’s or PhD in Computer Science, Machine Learning, or a related field

Salary/Compensations

$150,640.00 - $279,760.00 salary per year

Benefits

Health insurance coverage
Employee wellness program
Life and disability insurance
Retirement savings plan
Paid holidays
Sick time
Vacation
Annual bonuses
Short- and long-term incentives
Program-specific awards

About the Company

Warner Bros. Discovery is home to iconic content and beloved brands, including HBO Max.
HBO Max is one of the world’s most iconic entertainment brands, home to bold originals and unforgettable characters.
HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally.

Equal Opportunity

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.
If you’re a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.