Build AI-native developer and data platforms that accelerate how Apple ships next-generation devices.

Develop novel AI-powered platforms that change how engineers explore, analyze, and act on complex program data
Design data infrastructure that unifies diverse knowledge sources and provides the right context to AI and engineers at the right time with appropriate access controls
Create reproducible analysis workflows with full provenance tracking so AI-generated insights can be trusted, iterated on, and shared across disciplines
Build agentic pipelines to automate multi-step research and analysis while keeping engineers in the loop for steering and validation
Develop infrastructure for continuous automated intelligence, including CI-integrated analysis and background monitoring that surfaces what matters
Design collaboration systems that help cross-functional teams (SW, HW, Design, Human Factors) accumulate and leverage shared institutional knowledge
Partner with algorithm teams shipping features for iPhone, Apple Watch, iPad, and future products to understand data challenges and deliver tooling that compounds over time

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 and agent frameworks
Strong software architecture and API design sensibilities; systems-level thinking over scripting
Experience with retrieval pipelines such as RAG, embeddings, and vector search, or knowledge retrieval systems
Strong communicator across disciplines
Experience evaluating and iterating on AI system outputs, including building evaluation pipelines, measuring quality, and running feedback loops
Strong problem-solving instincts with a bias toward shipping
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 (tool-use patterns, MCP, function calling) or building custom integrations between LLMs and external systems
Familiarity with access-controlled or policy-aware data systems
Experience with vector databases or embedding pipelines (Pinecone, Chroma, pgvector, or similar)
Track record building developer tools, CLIs, or internal platforms engineers rely on daily
Experience with cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI) or self-hosted model serving
Contributions to open-source projects in AI/ML infrastructure
Comfort navigating large, established codebases and shipping iteratively within them

Base pay range: $150,400 to $277,600 per year
Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Eligibility for discretionary restricted stock unit awards
Can purchase Apple stock at a discount if voluntarily participating in the Employee Stock Purchase Plan
Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Role may be eligible for discretionary bonuses or commission payments as well as relocation
Note: Benefits, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program

Applied AI Engineer

Job Description