Job Details

AIML - ML Engineer, Machine Learning Platform & Technology

Seattle, Washington, United States

Machine Learning and AI

Summary

Posted: Apr 30, 2025

Weekly Hours: 40

Role Number: 200602582

Do you want to make Siri and Apple products smarter for our users? The AI/ML Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. You can be a part of the next revolution in human-computer interaction. As a member of this dynamic group, you will have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of Apple’s users every day. We build groundbreaking technology for artificial intelligence, machine learning and human-computer interaction. Help us craft a smarter, more intuitive way to use your iPhone in your daily life, interact with content on AppleTV, and help people with disabilities access technology. Work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the AI/ML - Information Intelligence team at Apple.

Description

You will work in a multi-functional team which is developing software to run innovative machine learning systems in the cloud and on device. You are passionate about implementing performant ML based algorithms in a distributed system and keep up to date with best practices and new technologies. You will also work closely with ML engineers to ensure their algorithms can be deployed efficiently on device and in the cloud.

Minimum Qualifications

• Bachelor’s degree or equivalent in Computer Science or equivalent field

• Proficiency in Go, C, C++, Java, or other generalist programming languages.

• Practical knowledge of common data structures and algorithms.

• Understanding of distributed computing (load balancing, RPC, Map/Reduce, databases)

Preferred Qualifications

• Knowledge of machine learning theory and algorithms (preferred)

• Experience with AI model training and deployment using Tensorflow or Pytorch (preferred)

• Experience with ads models and ads optimization (preferred)

• Experience with data processing pipelines and big data (preferred)

• Experience with search engines, indexing, and serving (preferred)

• Experience with natural language processing or speech recognition (preferred)

• Experience with Docker and Kubernetes.

• An appreciation for good API design.

• Ability to write correct, clear, and understandable code.

• Ability to learn new technologies quickly.

• Excellent communication and teamwork skills

Pay & Benefits

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 $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.

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.

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.