Job Details

Machine Learning Engineer

Cupertino, California, United States

Software and Services

Summary

Posted: Jun 05, 2025

Weekly Hours: 40

Role Number: 200605639

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. Implement, train, and optimize machine learning models with the application of unsupervised and supervised learning techniques including classification, regression and artificial neural network algorithms using open-source libraries such as Scikit- Learn and Apple-owned frameworks such as CoreML and CreateML. Apply reinforcement learning techniques to personalize suggestions including application, people and action recommendations for user experience on Apple software systems. Deploy machine learning models using Python, Objective-C, and Swift for on-device inference, which involves applications of software engineering to write clean, readable, and testable code. Collaborate with Quality Engineers to implement test coverages, which involve using Objective-C and Swift to write unit-tests code for software testing of the source code and model integration tests to ensure optimal model performance in the highest standards for user satisfaction. Identify and select appropriate datasets and data representation methods, which involve the identification of data sources and implementation of a data collection algorithm to collect privacy-preserved data from users for model training. Apply statistical and mathematical skills, including regression analysis, and using tools such as Python language and SQL-based querying tools to derive insights from large data sets for optimization of model performance and improvement of existing features on Apple operating systems (iOS and macOS). Plan and implement A/B testing and experimentation of various on-device machine learning models using subsets of the user population to understand the
performance of the deployed models and optimize performance. Collaborate cross-functionally with various teams, such as Privacy Engineers, to ensure privacy preserved and secured data collection to handle the collection and use of private/sensitive data for model training and optimization. 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 $143,100 - $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

• Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, Electrical Engineering, or related field.

• Education and/or experience must include each of the following skills:

• Data Analytics: Analyzing customers and other datasets to be able to draw conclusions and drive KPIs.

• Machine learning and statistical inference: Training predictive models that leverage the data and bring novel experiences

• Python: Working with data on a large-scale using infrastructure.

• Data Mining to understand patterns in data: Leveraging tools to identify patterns in data and to drive new experiments.

• Algorithms: Implementing novel solutions on constraint devices to make predictions.

• Applying software engineering best practices, including code review, unit testing, code analyzer, and memory debugging in order to ship high-quality software.

• Memory management: Delivering models and inference pipeline on memory-constrained devices.

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.