Senior Machine Learning Engineer, Video Quality Systems
Core
Design and tune novel, explainable video quality assessment metrics using first-principles signal processing and human vision models to provide rapid feedback for camera engineering.
Role type
Senior Machine Learning Engineer (Video Quality Systems)
Builds
Explainable video quality metrics and evaluation frameworks for Apple camera products
Domain
Consumer electronics / Video signal processing / Human visual system
Deliverable
production ML models
Required skills
Video Quality Assessment (VQA), Image Quality Assessment (IQA), statistical analysis, data modeling, algorithm architecture design, psycho-visual experiment design, human visual system (HVS) modeling, signal processing, compression standards knowledge
Preferred skills
PhD in ML/CS/Math, managing crowdsourced subjective evaluation campaigns, developing non-black-box algorithms, publishing in VQEG/ICIP/HVEI/SPIE, technical writing
Technologies
None explicitly listed
Responsibilities
Design and analyze large-scale psycho-visual experiments; Evaluate existing VQA metrics against human baselines; Develop context-aware evaluation methodologies; Design and validate new objective quality metrics; Partner with algorithmic teams to integrate evaluation frameworks
Seniority
Senior, hands-on IC
