Job Details

Role Number: 200635218-0240

Summary

The Applied Machine Learning team in AI and Data Platform org has been at the forefront of accelerating digital transformation through machine learning across Apple's enterprise ecosystem. We build and operate ML, GenAI, Inference and Data Platforms and Services to provide a comprehensive suite of capabilities—serving business-critical needs across Apple's enterprise. We work on interesting and hard challenges related to scale and performance across diverse set of open-source and cutting edge technologies.

Description

We are looking for a talented engineer to join our team and bring passion for building and operating large scale platform and distributed systems leveraging cutting edge open source technologies across hybrid cloud environments.As a software engineer in AiDP reliability engineering you will work on one or many projects related to GenAI, ML, Inference and Big data platform.

Minimum Qualifications

• BS/MS in computer science or equivalent experience.

• 2+ years experience programming skills in one of the following areas: Python, Java, or Go.

• 2+ years experience in Kubernetes, Docker or other container orchestration framework.

Preferred Qualifications

• Ability to read and explain open source codebase.

• Experience deploying and managing CI/CD pipelines.

• Strong expertise in troubleshooting complex production issues.

• Should be able to understand complex architectures and be comfortable working with multiple teams.

• Ability to conduct performance analysis and troubleshoot large scale distributed systems.

• Should be highly proactive with a keen focus on improving uptime/availability of our mission-critical

• services.

• Experience with big data technologies - Spark, Flink, Iceberg or emerging GenAI/ML like

• Ray/MLflow/model serving) technologies.

• Experience of Linux, database and security concepts.

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) .