Senior Machine Learning Engineer - Video AI (Vision & Creative Systems)

Senior Machine Learning Engineer – Video AI (Vision & Creative Systems) Job Description Overview 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. 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. Qualifications & Experience 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 in 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. Benefits & Compensation Pay Range: $155,120.00 – $288,080.00 per year. Other rewards may include annual bonuses, short‑ and long‑term incentives, and program‑specific awards. We provide a variety of benefits including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time, and vacation. Equal Opportunity Employer Warner Bros. Discovery is an equal opportunity employer. We 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 other protected categories. We welcome qualified candidates with a disability and provide accommodations during the application process. In compliance with local law, we disclose compensation for roles in locations where legally required. Applicants with an arrest or conviction record will be considered in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. #J-18808-Ljbffr WarnerMedia Services, LLC