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# iOS Software Engineer, AIML Evaluation

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Experienced
- **Salary:** $147,400.0 - $272,100.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Apple IOS, Apple Products, Apple Mac Systems, Cocoa, Computer Engineering, Core Foundation, Machine Learning, Objective-C (Programming Language), Swiftui, Backend, Information Technology, Cocoa Touch, Artificial Intelligence Markup Language (AIML)
- **Published:** May 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=289b2f8fd5e09fe5

## About the Role

Do you have experience in iOS API integration?, Do you have a Bachelor's degree?, Eager to explore and apply cutting-edge tech solutions.

Experience working on large, cross-functional, and multi-team projects.

Striving to elevate every aspect of the user experience.

Minimum Qualifications

2+ years of iOS or macOS development experience

Proficiency in programming languages such as Swift, Objective C, etc.

Knowledge of Apple's development APIs (Cocoa Touch, Cocoa, CoreFoundation, SwiftUI)

Ability to tackle complex challenges, think critically, and deliver innovative solutions.

Excellent communication skills and a team-oriented attitude, thriving in a collaborative and fast-paced environment.

BS, MS in Computer Science, Computer Engineering, or equivalent degree with applicable experience.

## Description

You'll play a pivotal role in developing Apple Intelligence, driving the next generation of groundbreaking products across all Apple platforms.","responsibilities":"Work closely with product managers, backend engineers, data scientists and other stakeholders to improve the overall quality and user experience of numerous Apple products.

Design and develop on-device system and framework to enhance the quality of Apple Intelligence, ensuring our models meet the highest standards.

Leverage machine learning technologies to automate on-device processes, generate and collect on-device signals, and advance the evaluation pipeline to the next level.

Continuously seek ways to enhance on-device measurement frameworks, adopting best practices and integrating the latest advancements in technology.


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