Senior Machine Learning Engineer, Video Quality Systems

What you'll do

• Design and oversee large-scale psycho-visual experiments for high-quality subjective video evaluation data.
• Evaluate existing objective VQA metrics against human baselines to determine their correlation and operational limits.
• Develop methodologies to classify video content and apply "world knowledge" to automated metric success or failure.
• Design, tune, and validate new objective quality metrics based on HVS and mathematical first principles for explainability.
• Integrate evaluation frameworks into fast, automated feedback loops guiding the engineering process.

What we're looking for

• MS in Machine Learning, Computer Science, Applied Mathematics, or related field with at least 10 years of industry experience.
• Extensive experience in Image/Video Quality Assessment (IQA/VQA), image processing, and computational vision.
• Strong background in statistical analysis, correlation methodologies, and data modeling.
• Expertise in designing and implementing algorithm architectures for machine learning applications.
• Experience developing explainable algorithms for image or video analysis based on human visual system principles.