Senior Machine Learning Engineer - Video AI Vision & Creative Systems - Warner Bros. Discovery
ML Engineer
Lead the design and deployment of cutting‑edge video AI models, driving innovation in computer vision and deep learning to enhance creative workflows and content experiences.
About the role
Key Responsibilities
Architect, develop, and production‑grade deploy end‑to‑end video AI pipelines using Python, PyTorch/TensorFlow, and cloud services.
Collaborate with creative and engineering teams to translate business requirements into scalable ML solutions for video analysis, enhancement, and generation.
Optimize model performance and inference latency on GPU/CPU clusters, leveraging AWS services such as SageMaker, ECS, and EKS.
Conduct rigorous experimentation, A/B testing, and continuous integration of new algorithms into the production stack.
Mentor junior engineers, conduct code reviews, and champion best practices in data science and software engineering.
Requirements
5+ years of experience in machine learning with a focus on computer vision and video analytics.
Proficiency in Python, deep learning frameworks (PyTorch/TensorFlow), and GPU‑accelerated training.
Hands‑on experience with video processing libraries (OpenCV, FFmpeg) and large‑scale data pipelines.
Strong background in cloud architecture, preferably AWS, and container orchestration (Docker, Kubernetes).
Excellent problem‑solving skills, communication, and a passion for creative media technologies.