Maintaining Apple's high standards of visual quality at the scale of trillions of photos captured and edited annually requires innovation at every level of the imaging pipeline. The new team aims to rethink how image quality is assessed and scaled, both objectively and subjectively, across features and workflows.
Requirements
- 2+ years of industry or academic experience in image quality assessment.
- Strong background in ML techniques, with experience in one or more of the following: Transformers, LLMs, VLMs.
- Proficiency in Python and deep learning frameworks such as PyTorch.
- Solid foundation in digital signal and image processing.
- Experience working AI-based solutions for large-scale, real-world image or video data and performance-sensitive applications.
- Familiarity with human perception models and subjective testing methodologies.
- Demonstrated ability to translate research into production-level code and tools.
Responsibilities
- Research and develop advanced AI / ML models for image and video quality assessment.
- Explore and apply emerging technologies including Vision-Language Models (VLMs) and Large Language Models (LLMs) to visual quality tasks.
- Collaborate with experts across camera, imaging, and ML teams to define quality metrics that align with both subjective experience and objective benchmarks.
- Prototype, validate, and iterate on models using real-world image data from Apple’s imaging pipeline.
Other
- Partnering closely with cross-functional teams to ensure Apple’s camera and photo experiences consistently exceed expectations.
- Familiarity with iOS and/or macOS development environments, tools, and APIs.
- Master's degree in Artificial Intelligence, Machine Learning, Computer Science, Electrical/Computer Engineering, or a related field.
- Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
