Apple
Senior Machine Learning Engineer, Video Quality Systems
$185K–$325K
Cupertino, California · Senior · Full-time · Posted Apr 22, 2026
- Experience
- Minimum 10 years of relevant industry experience.
- Education
- MS in Machine Learning, Computer Science, Applied Mathematics, or a related discipline.
About the job
Design and validate explainable video-quality evaluation methods that combine subjective human assessments, automated metrics, and content context to provide actionable engineering feedback.
What you'll do
- Design and analyze large-scale subjective video evaluation experiments.
- Compare objective Video Quality Assessment (VQA) metrics with human baselines and characterize their limitations.
- Develop context-aware, explainable quality metrics and integrate evaluation frameworks into engineering feedback loops.
What they ask for
- MS in Machine Learning, Computer Science, Applied Mathematics, or a related discipline.
- Minimum 10 years of relevant industry experience.
- Demonstrated 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.
Nice to have
- PhD in a related discipline; experience managing outsourced or crowdsourced subjective evaluations, such as using ITU-T standards.
- Experience developing explainable algorithms or conducting psycho-visual experiments; knowledge of HVS, signal processing, video pipelines, and compression standards.
Pay
$184,700 and $324,800 USD base salary
Tools
ITU-T standards, Video Quality Assessment (VQA), Image/Video Quality Assessment (IQA/VQA), human visual system (HVS)
AI focus
Apply machine learning and context-aware methods to video-quality evaluation, emphasizing explainable metrics grounded in signal processing and human vision rather than black-box scoring.
Model-written summary · the original posting is authoritative