Machine Learning Research Engineer - Image Quality

Machine Learning Research Engineer - Image Quality

Cupertino, California, United States Software and Services

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.

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.

• 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.

• 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.

• 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.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including:
Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note:

Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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. Learn more about your EEO rights as an applicant.

Apple accepts applications to this posting on an ongoing basis.