Camera Algorithms - ML Development and Integration SWE

　　San Diego,California,United States

　　Software and Services

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　　Summary

　　Posted:Jan 19, 2024

　　Weekly Hours: 40

　　Role Number: 200529876

　　Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job; there is no telling what you can accomplish. Dynamic, hardworking people and inspiring, innovative technologies are the norm here. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day. Are you interested in building products that leverage computer vision and machine learning algorithms on the device? Are you looking to apply your state-of-the-art knowledge to produce new features for Apple’s iPhone/iPad cameras? The Camera Algorithms Team is looking for an extraordinary engineer to help develop its next generation of computer vision and machine learning solutions.

　　Key Qualifications

　　Strong programming, debugging, and software design skills

　　Experience with computer vision and machine learning algorithms

　　Ability to handle several concurrent projects

　　Be able to work independently and with others

　　Excellent problem-solving, critical thinking, and interpersonal skills

　　Ability to produce creative and innovative solutions to hard problems

　　Description

　　We are looking for a Machine Learning (ML) Development and Integration SWE who will join us to build Apple’s next-generation iPhone / iPad features. Strong fundamental software engineering skills are a must, and familiarity with Python, Objective C, C++, C, Metal, and/or Open CL is preferred. An ideal candidate should have experience with ML variants, including deep learning and fully convolutional neural networks. An ideal candidate should also have familiarity with ML applications such as detection, segmentation, and/or super-resolution (for example) on the device. Lastly, an ideal candidate should be passionate about bringing algorithms from research all the way to a product.

　　Education & Experience

　　B.S. or M.S. in Computer Science, Electrical Engineering, or a related field and two or more years of experience in a SWE role.

　　Additional Requirements

　　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 $131,500 and $198,100, 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 (https://www.apple.com/careers/us/benefits.html) 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 Footer

　　Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .

　　Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

　　Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

　　Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

　　Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

　　Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .