Machine Learning Engineer - Tools & Frameworks AI

Apple • Cupertino, CA

4h

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees