Job Details

Weekly Hours: 40

Role Number: 200629542-0836

Summary

We are looking for Machine Learning Engineer to come make a big impact! The Display Intelligence team in the Visual Experience & Incubation organization has worked on display features such as True Tone, ambient light sensor confidence estimator, Auto Brightness, spatial computing display interplay and many other novel features to enable the best front-of-screen user experience. Many new display technologies, specially the emerging Vision Products brings ever evolving challenges in imaging & sensing, requires innovations in signal and image processing, color imaging, and cutting edge machine learning algorithms . The expanding Apple product lines also create exciting opportunities for novel display prototypes and productization to deliver the best ecosystem experience!

We are looking for passionate scientists and engineers that have strong background in signal and image processing, color imaging, and machine learning.

Description

Your daily responsibilities include:
-Design and execute data collection experiments
-Machine learning algorithm development
-Proof-of-concept demo
-Generate display feature & calibration engineering requirements and specifications

Minimum Qualifications

• Bachelors Degree in Science, Technology, Engineering or equivalent, 3+ years of experience in imaging or machine learning.

• Experience on ML algorithm development

• Experience with Python, including familiarity with crucial package such as PyTorch, Tensorflow etc.

Preferred Qualifications

• M.S./PhD in Science, Technology, Engineering (e.g. Color and/or Imaging Science, Computer Science, Electrical Engineering ) or equivalent field and 5+ years of relevant experience

• Physics-informed ML

• Display HW or pipeline experience

• Exceptional written and verbal communication skills, especially in the communication of technical concepts to a cross-functional team as well as leadership

• Proven ability to work collaboratively within a large group of engineers

• Demonstrated ability to drive & meet key project targets

• Proactive, self-motivated engineer who can take the initiative and lead improvement

• Solid image processing background is a plus

• Cutting-edge GenAI experience is a plus

• Experience on eye tracking is a plus

• Experience on medical imaging or health application is a plus

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 $147,400 and $220,900, 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. (https://www.apple.com/careers/us/benefits.html)

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 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .