Senior AIML Data Ops Engineer - Full-Stack Impact

Apple Inc.; Cupertino (CA); Hybrid; USD 216,000 - 325,000; Full time

Job summary

Apple Inc. in Cupertino, California, is seeking a Sr Full-Stack Software Engineer for AIML Data Operations. You will work on data pipelines, web services, and front-end applications to supply high-quality data for LLM training and evaluation.

You will design robust systems, mentor peers, and collaborate with teams across Apple’s AI initiatives and user-facing software. The role emphasizes production-grade software and scalable solutions across platforms.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or closely related field, or equivalent practical experience.
• 10+ years designing, building, testing, debugging, and operating production-grade software systems.
• Experience with iOS/Android apps backed by cloud-based services.
• Robust web applications and supporting APIs.
• Scalable, cloud-based data-processing pipelines.
• Strong knowledge of data structures, algorithms, design patterns, concurrency, and scalability.

Responsibilities

• Deliver high-quality data for LLM training and evaluation and support Apple experiences.
• Build and maintain large-scale distributed data-processing pipelines and services.
• Develop back-end and front-end applications and internal tooling for data operations.
• Collaborate across multi-disciplinary teams to ship production software at scale.

Skills

Swift

Obj-C

Go

C++

Java

Web APIs

Data pipelines

Distributed systems

Concurrency

Collaboration

Education

Bachelor's degree in CS/Software Eng or related

Tools

Spark

Hadoop

Kafka

Kubernetes

AWS

GCP

Azure

Job description

Apple Inc. in Cupertino, California, is seeking a Sr Full-Stack Software Engineer for AIML Data Operations. You will work on data pipelines, web services, and front-end applications to supply high-quality data for LLM training and evaluation.

You will design robust systems, mentor peers, and collaborate with teams across Apple’s AI initiatives and user-facing software. The role emphasizes production-grade software and scalable solutions across platforms.