Machine Learning Research Engineer, Camera Software

APPLE; Cambridge; On-site; GBP 90,000 - 130,000; Full time

Job summary

Apple in Cambridge is seeking a researcher to design, develop, and improve imaging and photo editing technologies. You will leverage your research background on image processing and ML to create commercially viable algorithms for iPhone imaging pipelines.

Stay current with ML, CV, and computational photography developments, and influence Apple's camera systems across devices. PhD preferred; collaboration with cross-functional teams; strong coding skills in Python and PyTorch appreciated.

Qualifications

• Experience researching, developing, and implementing image processing and ML algorithms.
• Experience training and working with generative models.
• Strong coding skills in Python with ML frameworks such as PyTorch.
• Experience productizing or publishing research in ML, image processing, or graphics.

Skills

Image processing

Machine learning

Generative models

Python + ML frameworks (PyTorch)

Research publication / productization

Education

PhD in Computer Science or related field

Tools

C++

Objective-C

Job description

Summary

Posted: 30 Jul 2026

Weekly Hours: 35

Role Number: 200674552-1251

iPhone is equipped with the world’s most popular camera system, delivering magical experiences that continue to surprise and delight our customers. The Camera & Photos group focuses on perfecting our imaging pipelines using advanced computer vision, computational photography, and machine learning techniques. As a member of this group, you would have the unique opportunity to work on products that are used and enjoyed by millions of people. As part of the Camera and Photos organization, our team in Cambridge works on camera pipelines specifically for Apple’s mobile devices, including the iPhone and iPad. Combining innovative algorithms with optimized implementations, we deliver the quality and features that help redefine computational photography. If you are passionate about inventing and developing new imaging algorithms to improve the photography experience, we would like to hear from you.

Description

You will leverage your research background and knowledge of image processing and machine learning to design, develop, and improve Apple imaging and photo editing technologies. You will develop ideas and concepts into commercially viable algorithms. You should stay up-to-date with the cutting-edge developments in machine learning, computer vision, and computational photography, both in academia and in industry. You are expected to leverage your knowledge to work and influence Apple's products, specifically as they relate to our camera systems.

Minimum Qualifications

• Experience researching, developing, and implementing image processing and machine learning algorithms
• Experience training and working with generative models
• Strong coding skills - preferably in Python including ML-frameworks and libraries such as Pytorch
• Experience in productizing or publishing your research results in fields such as machine learning, image processing, and computer graphics

Preferred Qualifications

• PhD in Computer Science or a related field (mathematics or physics), with a focus on or related work in machine learning, computer vision, or imaging
• Good understanding of in-camera processing
• Strong mathematical and statistical analysis background
• Familiarity with object-oriented programming languages such as C++ or Objective C
• Ability to work with cross-functional teams
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.

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