Software Engineer - Applied Intelligence

Socket.dev; Santa Clara (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Apple is seeking an experienced software engineer to work across the stack on iOS and macOS platforms. You will integrate machine learning and AI capabilities into production experiences while collaborating closely with ML engineers and product teams.

The role requires 3+ years building software for iOS/macOS, strong cross-functional collaboration, and a solid foundation in full-stack development. BA/BS or MS in CS or SE is expected, with a passion for shipping high-quality, innovative user

Qualifications

• 3+ years building software solutions for iOS or macOS
• Cross-functional collaboration with engineers, designers, and ML engineers to ship products
• Demonstrated ability to work across the full stack (UI, application logic, networking/services)
• BS or MS in Computer Science, Software Engineering, or equivalent practical experience

Responsibilities

• Build across the stack for iOS/macOS platforms
• Collaborate with ML engineers to bring AI features to production
• Integrate ML models into applications and optimize for performance
• Deliver high-quality software on time in a fast-evolving environment

Skills

iOS/macOS development

Cross-functional collaboration

Full-stack understanding

Problem solving

Education

BS/MS in Computer Science/Software Engineering

Tools

Swift

Xcode

ML integration

Job description

The Applied Intelligence team, part of AI, Search & Knowledge Platforms, builds applications that bring intelligent capabilities to people through Siri, search, and new surfaces that haven't shipped yet. We work across the full stack, from native apps and prototyping tools to server integrations, with teams across Apple. There is a huge opportunity in bringing intelligent capabilities to personal data in a way that is secure, private, and only possible in the Apple ecosystem.

Description

We are looking for an experienced software engineer who can work broadly across the stack and adapt as priorities shift. Ideally you have deep technical understanding of iOS or macOS, experience building systems that use the full capabilities of the platform, and the ability to integrate machine learning and AI technologies into production experiences. A strong understanding of modern AI systems and the ability to collaborate closely with ML engineers will be critical. Having strong technical opinions, a bias toward experimentation, and the focus to deliver on time are key to being successful here.

Minimum Qualifications

• 3+ years of experience building software solutions (frameworks, UI, services) for iOS or macOS
• Track record of working cross functionally with engineers, designers, and ML engineers to ship products
• Demonstrated ability to work across the full stack (UI, application logic, networking/services)
• BS or MS in Computer Science, Software Engineering, or equivalent practical experience

Preferred Qualifications

• Strong product focus and ability to advocate for the end user experience
• Deep understanding of and strong opinions on software quality
• Comfortable taking ownership and driving quality end to end
• Experience building software that makes full use of platform capabilities
• Familiarity with search technologies, information retrieval, or knowledge systems
• Familiarity with ML concepts or experience integrating ML models into applications