Senior Machine Learning Engineer Video AI (Vision & Creative Systems)
Warner Bros. Discovery
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Job summary
Warner Bros. Discovery in New York is seeking a Senior Machine Learning Engineer for Video AI (Vision & Creative Systems).
You will design, build, and deploy ML models for video understanding and multimodal workflows, enabling VFX, storyboarding, and color grading in real production pipelines. Collaborate across engineering, product, and creative teams, advance end-to-end ML pipelines, handle large-scale datasets, and translate complex problems into robust technical solutions that power content
Qualifications
- 4+ years of experience in machine learning with emphasis on computer vision or video.
- Advanced degree in CS, ML, or related field.
- Strong programming skills in Python and deep learning frameworks.
- Experience with video models and multimodal systems.
- Ability to implement state-of-the-art techniques from research.
Responsibilities
- Design, build, and deploy ML models for video understanding and multimodal systems.
- Develop capabilities for creative workflows including VFX, storyboarding, and color grading.
- Work across the full ML lifecycle from data processing to deployment.
- Collaborate with engineering, product, and creative teams to integrate ML into production.
- Advance scalable systems for processing large video datasets.
Skills
Education
Tools
Job description
Welcome to Warner Bros. Discovery… the stuff dreams are made of.
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!
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.
- 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
- 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
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.
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: $150,640.00 - $279,760.00 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, paid holidays and sick time and vacation.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.
Welcome to Warner Bros. Discovery… the stuff dreams are made of.
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!
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.
- 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
- 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
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.
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
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