Job Information
Apple Machine Learning Engineer in Cupertino, California
Machine Learning Engineer
Cupertino, California, United States
Machine Learning and AI
Summary
Posted: Apr 17, 2025
Weekly Hours: 40
Role Number: 200599332
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 implement machine learning solutions for natural language understanding at Siri. Engineer and maintain a Machine Learning (ML) system. Collect and analyze data from distributed databases. Publish scientific results in journals and present at conferences. Follow state of the art in natural language processing and visual-language fusion. Develop Machine learning models to add new features to Siri using techniques like Deep Learning. Integrate the developed Machine Learning (ML) models into the production pipeline for Siri. Build a voice assistant pipeline with automatic speech recognition, entity understanding, and dialogue modeling components in a system. Use behavioral modeling and analytics to build entity resolution systems. Build on-device iOS frameworks integrated in the OS using Objective-C and Swift. Conduct large-scale data analysis using spark. 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
Bachelor's degree* or foreign equivalent in Computer Science, Software Engineering or related field and two years of experience in the job offered or related occupation. *Employer will accept a 3 or 4 year degree or foreign equivalent degree
6 months of experience with each of the following skills is required:
Using Tensorflow deep learning framework to build Neural Networks for Machine Learning Applications.
Using Python programming language to build model training and evaluation pipelines and perform data analysis.
Experience in Object detection using deep learning
Experience in Image Classification to build multi modal experiences for digital assistants.
Experience Identifying re-identification using contrastive learning
Experience deploying on-device iOS frameworks using ObjectiveC and Swift
Experience building entity resolution systems for voice assistants
Experience with large scale data analytics using Spark and SQL
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.