Job Details

Machine Learning Engineer

Cupertino, California, United States

Machine Learning and AI

Summary

Posted: Jun 05, 2025

Weekly Hours: 40

Role Number: 200606148

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Design and develop efficient networks for computer vision problems such as multi-object tracking, scene understanding, and activity recognition algorithm. Implement efficient tensor operations and deep neural networks training algorithms. Utilize Python and C++ programming languages to implement and optimize computer vision algorithms for Apple devices. Prepare presentations, papers, and talks to explain the inventions. Use deep learning frameworks such as Tensorflow, PyTorch, or Keras. Use machine learning and computer vision libraries such as Numpy, Matplotlib, OpenCV, and Pandas. Implement quality assurance and testing programs for machine learning and computer vision algorithms. Build automated pipelines for training and testing machine learning and computer vision algorithms. Design and implement data collection and annotation pipelines and lead the acquisition process in collaboration with cross-functional quality assurance engineers. Conduct research on novel few-shot and zero-shot deep learning approaches in order to improve the training time and user experience of custom machine learning trainings on Apple hardware. Implement and optimize new machine learning training algorithms in customer facing software tools on Apple hardware. 40 hours/week. 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 $175,800 - $264,200/yr and your base pay will depend on your skills, qualifications, experience, and location.

PAY & BENEFITS: 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.

Minimum Qualifications

• Master’s degree or foreign equivalent in Computer Science, Electrical Engineering, Applied Mathematics or related field.

• Experience and/or education must include:

• Developing 3D data annotation tools using advanced 3D computer vision principles.

• Building graphical user interfaces with Three.js (a wrapper around WebGL), leveraging computer graphics and rendering principles.

• Building pipelines for generating synthetic data for 3D computer vision tasks utilizing computer graphics and rendering.

• Using 3D geometry, linear algebra and computer vision algorithms.

• Implementing machine learning and deep learning algorithms in Python with PyTorch and Numpy.

• Creating applications using Swift.

• Using C++ in large-scale codebases.

• Developing regression testing, and automating pipelines.

• Applying generative AI technique to computer vision projects.

Preferred Qualifications

• N/A

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) .

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) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

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 .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

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 applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.