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Machine Learning Researcher - Image Quality at Apple
Cupertino, California, United States -
Full Time

Start Date

Immediate

Expiry Date

11 Feb, 26

Salary

0.0

Posted On

13 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Image Quality Assessment, Python, Deep Learning, PyTorch, Digital Signal Processing, Transformers, LLMs, VLMs, AI-based Solutions, Human Perception Models, Subjective Testing Methodologies, Production-level Code, iOS Development, macOS Development, APIs

Industry

Computers and Electronics Manufacturing

Description
Apple devices capture and edit trillions of photos every year, and maintaining Apple’s high standards of visual quality at this scale requires innovation at every level of the imaging pipeline. We’re forming a new team within the Camera and Photos Software group to rethink how we assess and scale image quality—both objectively and subjectively—across features and workflows. DESCRIPTION We’re looking for a highly motivated research engineer with a strong background in machine learning and image quality assessment. In this role, you’ll design and develop state-of-the-art ML-based algorithms to evaluate and enhance visual quality, partnering closely with cross-functional teams to ensure Apple’s camera and photo experiences consistently exceed expectations. MINIMUM QUALIFICATIONS 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. Master's degree in Artificial Intelligence, Machine Learning, Computer Science, Electrical/Computer Engineering, or a related field. PREFERRED QUALIFICATIONS 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. Familiarity with iOS and/or macOS development environments, tools, and APIs.
Responsibilities
Design and develop state-of-the-art ML-based algorithms to evaluate and enhance visual quality. Partner closely with cross-functional teams to ensure Apple’s camera and photo experiences consistently exceed expectations.