ML Image Scientist Cupertino,California,United States Software and Services Do you want to push the limits of the best mobile phone camera in the world? The Camera Algorithms R&D team delivers algorithms that drive some of the iPhone cameras ground-breaking features such as Night mode. In this position, you will have the opportunity to be part of an extraordinary team of image processing, machine learning, and computer vision experts to devise and build solutions to previously-unsolved problems in digital camera image processing and push the state of the art in camera algorithms that will change the way people capture images. We are looking for a driven and dedicated machine learning/computer vision scientist, optimally with experience in creating Generative AI architectures for image processing. As a member of a fast-paced team, you will have the unique and rewarding opportunity to impact trillions of images and videos that are shot on the iPhone every year. **Description** You’ll be working in a team of image processing, machine learning, and computer vision experts to push the state of the art in camera algorithms. Your job responsibilities will include: Inventing and implementing innovative machine learning and computer vision algorithms to solve cutting edge problems in image processing Designing such algorithms to work reliably and efficiently on mobile devices Collaborating with other teams in software, firmware, and hardware to ensure the highest possible image quality Collaborating with your team members to prepare presentations, talks, and disclosures to explain your inventions **Minimum Qualifications** + Expertise in deep learning and generative AI architectures to solve image processing problems + Experience in developing and optimizing deep networks to improve performance and image quality + Understanding of Stable Diffusion models + Proficiency with C/C++, Python, and PyTorch **Key Qualifications** **Preferred Qualifications** + Solid foundation in mathematics and statistics + Excellent problem solving and analytical thinking skills + Excellent communication and collaboration skills + Technical publication record in deep learning and/or computer vision is desirable + Industry experience of 5+ years in machine learning, image processing, computer vision, or Ph.D. in similar fields **Education & Experience** **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 $121,900 and $214,500, 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 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) **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) .