December 12, 2024

AIML - Software Full Stack Engineer, ML Platform & Technology

Mid • On-site

$143,100 - $264,200/yr

Santa Clara, CA

Summary

Posted:
Role Number:200582670
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

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

Pay & Benefits

  • 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.