Applied AI Engineer

At Apple, this Applied AI Engineer role is focused on building AI-native platforms and data systems that help accelerate how Apple ships next-generation devices. You will work on developer-experience tooling, agentic pipelines, reproducible workflows, and collaboration systems that support engineers across disciplines.

What you’ll do

• Build new AI-powered platforms that change how engineers explore, analyze, and act on complex program data
• Design data infrastructure that unifies diverse knowledge sources, so the right context is available to AI and engineers at the right time with appropriate access controls
• Create reproducible analysis workflows with full provenance tracking, enabling trusted, iterated, and cross-disciplinary sharing of AI-generated insights
• Develop agentic pipelines that automate multi-step research and analysis while keeping engineers in the loop to steer and validate
• Build 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 use 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 in value over time

Requirements

• 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, with a systems mindset beyond scripts
• Experience building retrieval pipelines (RAG, embeddings, vector search) or knowledge retrieval systems
• Ability to communicate and work effectively across disciplines
• Experience evaluating and iterating on AI system outputs, including building evaluation pipelines and quality measurement to support feedback loops
• Strong problem-solving skills with a bias toward shipping
• BS or MS in Computer Science, Software Engineering, Data Engineering, or equivalent experience

Technologies you may work with

• Python, Swift, TypeScript
• LLMs, MCP, function calling
• Pinecone, Chroma, pgvector, vector databases
• Embedding pipelines, RAG, embeddings, vector search
• CI-integrated analysis, agentic pipelines
• AWS Bedrock, Azure OpenAI, Google Vertex AI
• macOS, iOS
• Modern AI/agent frameworks, retrieval pipelines

Pay & benefits

Base pay range: USD 150,400 - 277,600 per year.

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses, including tuition
• Opportunity to become an Apple shareholder through Apple’s discretionary employee stock programs
• Eligible for discretionary restricted stock unit awards
• Ability to purchase Apple stock at a discount if participating in the Employee Stock Purchase Plan
• Role might 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

Location & experience level

• Location: Cupertino, CA (onsite)
• Experience: Minimum 3 years