Senior Machine Learning Engineer, Video Quality Systems

What you'll do

• Design and oversee large-scale psycho-visual experiments to collect high-quality subjective video evaluation data.
• Evaluate existing objective Video Quality Assessment metrics against human baselines to determine their correlation and limits.
• Develop methodologies to classify video content and apply "world knowledge" to identify where automated metrics succeed or fail.
• Design, tune, and validate new objective quality metrics based on the human visual system and mathematical first principles.
• Create explainable, non-black-box algorithms for image and video analysis rather than opaque machine learning models.
• Integrate evaluation frameworks into fast, automated feedback loops to guide the engineering process.
• Translate complex perceptual phenomena into clear, actionable engineering requirements for development teams.

What we're looking for

• MS in Machine Learning, Computer Science, Applied Mathematics, or a related discipline.
• Minimum 10 years of relevant industry experience.
• Experience in Image/Video Quality Assessment (IQA/VQA), image processing, or computational vision.
• Track record in statistical analysis, correlation methodologies, and data modeling.
• Proficiency in algorithm architecture design and implementation.
• PhD in Machine Learning, Computer Science, Applied Mathematics, or a related discipline.
• Experience managing or scaling outsourced/crowdsourced subjective evaluation campaigns.
• Knowledge of the human visual system (HVS), perceptual artifacts, and traditional signal processing.