Job Details

Role Number: 200641256-0836

Summary

Our team of applied ML scientists and engineers works to enhance the experience and productivity of software development at Apple. Our team applies state-of-the-art ML models to solve real-world problems in software quality and development workflows. We're looking for talented and enthusiastic team members to join us in our efforts. If this sounds like you, we have many challenging and interesting problems to work on together and would love to talk to you!

Description

Our team designs and builds ML solutions to transform how Apple and developers in the ecosystem approach developing quality software at scale. We are a team of applied scientists, infrastructure engineers, and machine learning engineers who work with NLP, computer vision, and multimodal domains to create AI-powered testing solutions.

In this role, you will be responsible for bringing ML ideas to life within Apple's ecosystem. You'll prototype and refine ML techniques, adapting them to work effectively on Apple platforms and within Apple's technical constraints. You'll develop creative approaches to collecting evaluation and training data. And you will serve as a crucial bridge between research ideas and production reality. Your ability to spot potential pitfalls in data collection, on-device model deployment, and integration will be an invaluable addition to the team.

You will be successful and feel fulfilled in our team if you enjoy turning ideas into working code, have a practical mindset about what it takes to ship ML systems, and thrive in a collaborative environment where you learn from senior teammates while contributing your own insights.

Minimum Qualifications

• 1-3 years of experience with machine learning in academic or professional settings, with demonstrated work on substantial ML projects beyond coursework

• Strong programming and software engineering skills with ability to write clean, maintainable code, particularly within Apple’s ecosystem

• Practical understanding of ML fundamentals and ability to implement ML algorithms from specifications or papers

• BS or MS in Computer Science, Machine Learning, or related field

Preferred Qualifications

• Experience with Apple platforms, development tools, or frameworks (Core ML, Swift, Xcode)

• Background in software testing, quality assurance, or developer tools

• Hands-on experience with NLP, computer vision, or multimodal ML applications

• Familiarity with app development (iOS/macOS) or testing frameworks

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) .