Job Information
Apple AIML - Software Full Stack Engineer, ML Platform & Technology in Santa Clara, California
AIML - Software Full Stack Engineer, ML Platform & Technology
Santa Clara,California,United States
Machine Learning and AI
Would you like to make significant impact on computing systems that enable machine learning innovation across Apple? At ML Compute team, we design, build and maintain infrastructure that empowers development on Apple Intelligence and essential enterprise algorithms that drive the company.
Description
Our team develops web platforms for machine learning computing at Apple. We foster a startup-like environment where you will have the opportunity to be part of every stage of development - from ideation to architecture design and deployment. We work in an iterative and fast-paced environment, and we’re passionate about learning new technologies and knowledge sharing. Our team collaborates with partners from various focuses across the company, from machine learning researchers and data center infrastructure engineers to supply chain managers and finance analysts. If the opportunity to learn and build services that scale globally, stay highly available and "just work" excites you, then please apply!
Minimum Qualifications
Bachelor's degree with 2+ year experience and strong CS fundamentals
Experience developing applications with modern web frameworks like React
Passion for elegant and intuitive UI/UX
Consuming and developing RESTful APIs
Leverage database and blob storage technologies e.g. PostgreSQL, Elastic-search, S3
Curiosity about the entire engineering stack
Engage with users to understand pain points
Key Qualifications
Preferred Qualifications
Build performant web applications that work seamlessly at scale
Distill complex data into easy-to-interpret and low-latency visualizations
Experience with AWS or GCP
Education & Experience
Additional Requirements
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 $143,100 and $264,200, 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 (https://www.apple.com/careers/us/benefits.html) about Apple Benefits.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 take affirmative action to ensure 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)
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Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .
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