Applied AI Engineer

Apple Inc

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Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$277,600 / yr
Posted
111 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k
This role $214k
$126k $294k
below market most similar roles pay here above market

This role pays more than 65% of similar roles. Most pay $150,000–$241,750 — the blue band above. At the midpoint, this role pays about $214k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Applied AI Engineer

The Applied AI Engineer joins a high-impact team to build AI-native platforms and data systems that accelerate the development of next-generation sensing technologies and devices. You will design backend services, data pipelines, and agentic workflows that integrate diverse knowledge sources into actionable context for engineers. Key responsibilities include creating reproducible analysis workflows with provenance tracking, building retrieval pipelines using RAG, embeddings, and vector search, and developing infrastructure for continuous automated intelligence. You will utilize Python, Swift, or TypeScript to build tools that automate multi-step research while maintaining human-in-the-loop validation. The role solves the technical challenge of connecting AI to deep organizational context, enabling cross-functional teams in software, hardware, and design to leverage shared institutional knowledge and complex program data more effectively.

What you'll do

  • Build AI-powered platforms to help engineers explore and analyze complex program data.
  • Design data infrastructure to integrate diverse knowledge sources with appropriate access controls.
  • Create reproducible analysis workflows with full provenance tracking for AI-generated insights.
  • Develop agentic pipelines to automate multi-step research and analysis tasks.
  • Build infrastructure for continuous, automated intelligence and CI-integrated analysis.
  • Design collaboration systems to help cross-functional teams leverage shared institutional knowledge.
  • Partner with algorithm teams to deliver tooling that addresses specific data challenges.

What we're looking for

  • 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.
  • Experience building retrieval pipelines (RAG, embeddings, vector search) or knowledge retrieval systems.
  • Experience evaluating and iterating on AI system outputs, including building evaluation pipelines and measuring quality.
  • BS or MS in Computer Science, Software Engineering, Data Engineering, or equivalent experience.
  • Experience building macOS or iOS client applications (preferred).

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