Video Knowledge EngineerAre you passionate about Computer Vision, Gen AI, and ready to dive into a thrilling project that blends cutting-edge technology with the vibrant world of entertainment? We're seeking a skilled Computer Vision Knowledge Engineer to participate in building an AI platform that revolutionizes how we create, curate, and deliver short-form content. You'll work alongside product, engineering, AI, and machine learning experts to build real-world AI systems that shape the future of entertainment. This role is ideal for someone who thrives at the intersection of Gen AI, machine learning, and software engineering, with a passion for building innovative AI products.Responsibilities:Coordinate with internal teams and vendors to identify and implement optimal metadata and video knowledge extraction solutions for the AI platform, enabling effective creation, curation, and delivery of short-form content.Collaborate with internal stakeholders and external vendors to evaluate, utilize, and enhance computer vision tools and libraries, ensuring robust video content analysis and metadata extraction.Work closely with the team, partners, and vendors to design and implement computer vision algorithms that extract actionable insights and high-quality metadata from video content.Partner with DevOps and engineering teams to integrate computer vision models and metadata extraction solutions into scalable, containerized environments using Docker and Kubernetes.Engage with data scientists, machine learning engineers, DevOps, and vendors to deliver cohesive, scalable solutions for video knowledge extraction and metadata optimization.Qualifications/Requirements:Proficiency in Python.Solid experience with development and deployment tools, including containerization (Docker, Kubernetes) and workflow orchestration (Temporal or similar).Familiarity with video analysis tools and libraries such as OpenCV, FFmpeg, or similar.Experience in computer vision algorithms, preferably with broad familiarity and use of existing tools and libraries (e.g., OpenCV, PySceneDetect) for building CV applications.Expertise in multiple areas listed below:Object and people detection (must)Facial recognition (must)Image and video segmentationActivity recognitionVideo summarizationVideo identificationVideo behavior analysisPreferred Qualifications:Practical knowledge of artificial neural networks for computer vision, especially in Convolutional Neural Networks (CNNs).Exposure to deep learning frameworks such as TensorFlow or PyTorch.Expertise in any additional CV areas listed below:Edge detectionStyle detectionGesture recognitionVideo trackingObject co-segmentationOr refer someone
En Español:
Ingeniero de conocimiento de vídeo ¿Estás apasionado por la visión de computadora, la generación de inteligencia artificial y listo para sumergirte en un proyecto emocionante que mezcla tecnología de vanguardia con el vibrante mundo del entretenimiento? Buscamos un ingeniero experto en conocimientos de la visión informática para participar en la construcción de una plataforma de IA que revolucione la forma en que creamos, curamos y entregamos contenido de forma corta. Trabajarás junto a expertos en productos, ingeniería, IA y aprendizaje automático para construir sistemas de IA del mundo real que dan forma al futuro del entretimiento. Este papel es ideal para alguien que prospera en la intersección de la Gen AI, el aprendizaje automático y la ingeniería de software, con una pasión por construir productos innovadores de IA.Responsabilidades:Coordinar con equipos internos y proveedores para identificar e implementar soluciones óptimas de extracción de metadatos y conocimientos de vídeo para la plataforma de IA, lo que permite la creación efectiva, la curaduría y la entrega de contenido de forma corta. Colaborar con las partes interesadas internas y los proveedores externos para evaluar, utilizar y mejorar las herramientas de visión de computadora y las bibliotecas de Python, asegurando un análisis robusto de vídeo y la extracción del metadato. Trabajar estrechamente con el equipo, los socios y los vendedores para diseñar y implementar algoritmos de visión digital que extraen información actionable y metadados de alta calidad de vídeo.