Camera Software - Sr. Machine Learning Engineer
iPhone is the most popular camera in the world. The flawless integration of software and hardware has led to features like Memories and Portrait Mode which deliver experiences that are magical. The Camera & Photos team focuses on user-experience by using computer vision and image processing through machine learning. Our team works hard on products that ship to millions of people. We are looking for people who want to do the same.
The Camera Intelligence team develops innovative algorithms for Apple's mobile devices, including the iPhone and iPad. Combining innovative algorithms with optimized implementations, our team delivers the quality and features which help re-defining mobile photography. If you're 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 knowledge of computer vision and AI/ML to build, develop and improve Apple technologies. You will develop ideas and concepts into commercially viable algorithms. You should be up-to-date with the latests developments in computer vision and machine learning, both in academia and in industry, and will be able to leverage your knowledge to work and influence Apple's products.
Preferred Qualifications
Strong coding and analytical skills.
Excellent written and verbal communications.
Minimum Qualifications
10+ years combined research and practical experience in developing algorithms for image processing and computer vision applications.
Proven track record of productizing research results with on-device deployment of ML models.
Experience building and scaling ML pipelines that handle large-scale datasets while adhering to privacy-preserving principles.
Proven leadership with ability to drive cross-functional initiatives, set technical directions, and provide technical mentorship.
Experience in productizing or publishing your research results in fields such as: Image processing, depth/disparity estimation, optical flow, object tracking, image registration, alpha matting, Bayesian statistics, generative models, deep learning.
MS or PhD in Computer Science or a related field (mathematics or physics), ideally with a focus or related work on imaging, computer vision, or machine learning.
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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 .
Pay & Benefits
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 $181,100 and $318,400, 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.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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