Software Engineer - AiDP Reliability Engineering, ISu0026T, Early Career Opportunities

Apple • Austin, TX

74d

About The Position

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. 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! We are looking for engineers who have strong coding skills and computer science foundation with passion for building resilient and highly performant distributed systems. 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.

Requirements

• Strong coding skills and computer science foundation
• Excellent analytical and problem solving skills
• Exposure to Model Training or Fine Tuning methodologies
• Exposure to Spark/Flink/Trino/Iceberg and other modern cloud native big data technologies
• Exposure to Kubernetes and other cloud native technologies like Flux/Argo CD

Nice To Haves

• Interest in ML Engineering
• Interest in Big Data Engineering
• Interest in Platform Reliability Engineering

Responsibilities

• Build, enhance, and maintain multi-tenant systems employing diverse technologies
• Collaborate with multi-functional teams to deliver impactful customer features
• Lead projects through full lifecycle, from design discussions to release delivery
• Operate, scale, and optimize high-throughput and highly concurrent services
• Diagnose, resolve, and prevent production and operational challenges

What This Job Offers

• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees