Job Details

Role Number: 200647631-3337

Summary

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. Design and implement distributed systems to build world-class machine learning (ML) platforms/products at scale and across different cloud environments that power ML at Apple. Partner with data scientists and machine learning engineers across different Apple organizations to deliver high-impact product features quality. Responsible for system that hosts hundreds of petabytes of structured and unstructured multi modal data which is used for Machine Learning and Foundational Models. Responsible for ensuring complete data lineage and legal workflow integration while optimizing performance and scalability. Responsible for monitoring the performance of the system, optimizing it for cost and efficiency, and solving any issues that arise. Work on cutting-edge technology and collaborate with cross-functional teams to deliver high-quality software solutions using background in software development, public cloud platforms, and distributed databases. 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 $212,202 - $258,100/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, Computer Engineering, Electrical Engineering, or related field and 5 years of progressive, post-baccalaureate experience in the job offered or related occupation.

• 1 year of experience with each of the following skills is required:

• Utilizing data structures and algorithms to create systems that are efficient and reliable at business scale.

• Using Java to implement modular and maintainable code for machine learning platform’s data management service.

• Ensuring quality code by creating unit and system test cases.

• Utilizing Big Data Technologies including Open Table Format (Iceberg), AWS Big Data Technologies such as Amazon S3, Dynamo DB, RDS, Redshift, or EMR to enable large scale data to be efficiently stored and retrieved.

• Applying AWS to build large scale cloud based applications for internal purposes

• Utilizing CI/CD to help with building and deploying the platform.

• Creating and maintaining REST API for internal usage

• Designing and implementing large-scale distributed systems in a cloud-native environment

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) .