Job Details

Machine Learning Engineer

Cupertino, California, United States

Software and Services

Summary

Posted: Jun 05, 2025

Weekly Hours: 40

Role Number: 200605602

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. Build high-performing deep learning models. Implement custom deep learning models in PyTorch or TensorFlow. Define careful metrics. Perform error analysis and data deep dives including network architectures such as convolutional networks, recurrent architectures, Transformers, etc. Demonstrate expertise with some tasks such as 3D object detection, tracking, panoptic segmentation, self-supervised learning, or behavior prediction. Write clean, correct code while iterating on experiments in Python. Improve the capabilities and performance of large-scale machine learned computer vision and perception systems for robotics applications. Develop new deep learning models to solve novel tasks. Understand the latest published research literature and propose ideas to improve performance of automated systems. 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 - $214,500/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 or related field.

• Experience and/or education must include:

• Building high-performing deep learning models for perception.

• Implementing custom deep learning models using PyTorch and TensorFlow to build high performing end-to-end machine learned systems.

• Using network architectures such as convolutional networks, recurrent architectures, Transformers, to perform error analysis and data deep dives.

• Implementing 3D object detection, tracking, panoptic segmentation, self-supervised learning, and behavior prediction for scene understanding.

• Building scalable data pipelines that curate, pre-process and store multimodal datasets using Spark, Amazon Web Services and Google Cloud Platform.

• Optimizing deep learned models for on-device deployment through quantization, distillation and profiling.

• Proficiency in Python and git version control for contributing to and maintaining the codebase.

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.