Job Details

Machine Learning Engineer

Cupertino, California, United States

Hardware

Summary

Posted: Jun 27, 2025

Weekly Hours: 40

Role Number: 200609451

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. Research and develop computer vision and machine learning SW algorithms, including Human motion understanding. Research, design, develop, implement and debug computer vision and machine learning algorithms for Apple products including iPhone, iPad and AppleTVs. Develop internal tools for debugging and demo purposes including end-to-end evaluation and visualization. Write high-quality algorithm development code for our framework/library ARKit. Profile and optimize algorithms for on-device deployment. Co-ordinate with upstream and downstream teams on quality improvements and requirements to design an algorithm suitable for the targeted use-case. 5% International and Domestic Travel Required. 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 $199,534 - $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 Engineering, Computer Science or related field and 2 years of experience in the job offered or related occupation.

• 2 years of experience in each of the following skills is required:

• Using Python, including experience in Data structures, algorithms, multi-threading, Object-oriented design, large-scale data handling

• Experience in major machine learning framework: TensorFlow, Keras, and PyTorch

• Experience in 3D Computer Vision concepts including 3D reconstruction, triangulation, and camera calibration.

• Experience in Machine Learning concepts including deep learning, model training, key losses, and KPI

• Experience in CVML algorithms including Object Detection and Recognition algorithms YOLO; experience in Pose estimation algorithms including Stacked-hourglass, OpenPose; and experience in Temporals models including TCN, and LSTM.

• Experience working with real world data

• Experience with collecting 2D / 3D data in the field and designing ground truth benchmarks

• Experience communicating technical findings to the team

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.