Description
In this role, you will be responsible for planning, designing, maintaining, and overseeing the Image/Video quality, evaluation and validation of AI and ML models used in photo and video editing features, ensuring their accuracy, performance, and impact on image/video quality. You will collaborate closely with engineering, product, and design teams to understand feature requirements, identify potential quality risks, and help mitigate them throughout the development lifecycle. You will establish and maintain objective and subjective image quality metrics and benchmarks. You will champion a quality-first culture across the organization and present quality findings to product and leadership teams.Mitigate quality risks throughout the development lifecycle
Minimum Qualifications
5+ years of experience in imaging, video processing, or computational photography quality, with at least 3 years in a managerial or leadership capacity managing a team Proven experience in image quality evaluation and testing for photo and video applications Strong understanding of digital image processing, color/image science, compression algorithms, and video codecs Experience with AI/ML model evaluation and validation, particularly in computer vision or image manipulation contexts Knowledge of HDR workflows and advanced color grading techniques Experience with objective and subjective image quality assessment techniques Experience in testing with GenAI Repair tools. Experience using AI/LLMs for Image/Video Quality Evaluations Proficiency with relevant QA tools and software testing methodologies Excellent communication, interpersonal, and leadership skills Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities Bachelor's or Master's degree in Computer Science, Image Processing, or a related technical field.
Preferred Qualifications
Knowledge of machine learning algorithms and their application in image processing Familiarity with scripting languages (e.g., Python) for test automation and data analysis iOS and macOS familiarity
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