Job Details

Machine Learning Engineer

Seattle, Washington, United States

Machine Learning and AI

Summary

Posted: Jun 05, 2025

Weekly Hours: 40

Role Number: 200605479

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 Seattle, Washington. Find opportunities for new features for Siri in customer data by writing queries and using data analysis skills. Conduct evaluation and computing of various metrics for several tasks and datasets using Python. Machine learning is used to build, evaluate, and test models for natural language and speech tasks. Design and build architecture for projects using best software engineering practices/guidelines. Build end-to-end prototypes for new experiences using software engineering skills to develop code for devices such as iPhones and iPads. Collaborate with cross-functional partners to gather requirements, understand dependencies, define an architecture, and implement solutions to well-defined projects. Collaborate with engineers to bring changes in production to customers. A wide range of software engineering tasks across multiple domain areas. Work on Machine learning projects involving state-of-the-art modeling techniques. Work with multiple teams across the organization to gain a broad understanding of the Siri architecture. 8% 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 $145,611 - $204,000/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 Data Science, Computer Science or related field.

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

• Applying big data methodologies such as MapReduce, Elasticsearch, and Kibana for data preprocessing, analysis, and visualization.

• Utilizing SQL for data querying, manipulation, and database management, with hands-on experience in platforms like AWS RDS.

• Utilizing Java for developing robust and scalable backend systems.

• Leveraging PyTorch for building, training, and fine-tuning deep neural networks.

• Utilizing JavaScript, CSS, and HTML for frontend development.

• Experience in Android app development, showcasing the ability to design and implement backend and front-end functionalities for mobile applications.

• Utilizing MATLAB for prototyping and implementing algorithms for signal processing and image analysis tasks in machine learning.

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.