Machine Learning Research Engineer, Camera & Photos

Lex; Cambridge; On-site; GBP 100,000 - 150,000; Full time

Job summary

Apple in Cambridge seeks a researcher to design, develop, and improve imaging technologies for iPhone and iPad, applying image processing, statistics, and machine learning. You will stay current with computer vision, computational photography, and ML advances, turning ideas into commercially viable algorithms that influence camera systems.

Strong coding skills in Python and MATLAB are essential. Collaborate with cross-functional teams to prototype, evaluate, and productize research results

Qualifications

• Experience researching, developing, and implementing image processing and machine learning algorithms.
• Deep understanding of image processing techniques, statistics and optimization algorithms.
• Strong coding and prototyping skills in Python and MATLAB.

Skills

Image processing

Machine learning

Statistics

Python

MATLAB

Cross-functional collaboration

Education

PhD in Computer Science or related field

Tools

Python

MATLAB

C++

Objective-C

GPU parallelization

Job description

Summary

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 computational photography, optimization methods, statistics, 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 image processing pipelines and innovative algorithms 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 mobile photography. If you are passionate about inventing and developing new imaging algorithms to improve and reimagine the photography experience, we would like to hear from you.

Description

You will leverage your research background and knowledge of image processing, statistics and computer vision to design, develop, and improve Apple imaging technologies. You will develop ideas and concepts into commercially viable algorithms. You should stay up-to-date with the latest developments in computer vision, computational photography, and machine learning, 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
• Deep understanding of image processing techniques, statistics and optimization algorithms
• Strong coding and prototyping skills - preferably in Python and MATLAB
• Experience in productizing or publishing your research results in fields such as image processing, computer vision, computer graphics, and color science

Preferred Qualifications

• PhD in Computer Science or a related field (Mathematics, Physics), ideally with a focus on or related work in imaging, computer vision, or machine learning
• Good understanding of in-camera processing
• Familiarity with object-oriented programming languages such as C++ or Objective C
• Familiarity with algorithm performance optimization and parrallelization for instance on GPUs
• 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. Learn more

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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Role Number: 200659933-1251