This role involves building AI infrastructure at Apple, focusing on enhancing the way engineers work by integrating AI with data and tools. You will join a small, high-impact engineering team responsible for developing AI systems that improve internal workflows and potentially evolve into broader products. The position requires collaboration with machine learning scientists, algorithm engineers, and other disciplines to create AI-native platforms that accelerate device shipping. Your contributions will influence the architecture and direction of the projects you work on.

• 3+ years of software engineering experience
• Proficiency in Python and at least one of Swift, TypeScript, or another systems-level language
• Experience designing and building backend services, data pipelines, or platform infrastructure
• Hands-on experience building with modern AI/agent frameworks
• Strong software architecture and API design sensibilities
• Experience building retrieval pipelines or knowledge retrieval systems
• Strong communicator who works effectively across disciplines
• Experience evaluating and iterating on AI system outputs
• BS or MS in Computer Science, Software Engineering, Data Engineering, or equivalent experience
• Experience building macOS or iOS client applications
• Background in workflow orchestration, experiment tracking, or reproducibility tooling
• Experience designing data models, storage layers, or integration APIs for complex domains
• Experience integrating LLMs with external tools and APIs
• Familiarity with access-controlled or policy-aware data systems
• Experience with vector databases or embedding pipelines
• Track record building developer tools, CLIs, or internal platforms that engineers rely on daily
• Experience with cloud AI services or self-hosted model serving
• Contributions to open-source projects in AI/ML infrastructure
• Comfort navigating large, established codebases and shipping iteratively within them

• Design and build platforms that connect AI to organizational contexts.
• Collaborate with cross-functional teams to develop AI-native platforms.
• Enhance internal workflows through AI integration.
• Influence the architecture and direction of AI infrastructure projects.
• Ship AI-powered tools that real users depend on.
• Evaluate and iterate on AI system outputs to ensure quality.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.