Swift Engineer, AI Experiences - Innovation Lab

Cupertino, CA, US • Posted 60+ days ago • Updated 5 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Sales
  • Emerging Technologies
  • IOS Development
  • OS X
  • Art
  • Customer Engineering
  • Innovation
  • Demonstrations
  • Customer Engagement
  • Computer Science
  • Swift
  • Evaluation
  • Software Engineering
  • Shipping
  • Presentations
  • Workflow
  • Artificial Intelligence
  • Machine Learning (ML)
  • Relationship Building
  • Product Design
  • Management
  • Attention To Detail

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding

products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish.

Apple's Sales organization generates the revenue needed to fuel our ongoing development of

products and services, enriching the lives of hundreds of millions of people around the world. In many ways, we are the face of Apple to our largest enterprise customers.

The Innovation Lab helps top-tier customers and partners build groundbreaking applications on Apple platforms using emerging technologies like AI and Spatial Computing. We are looking for a SWIFT Engineer to join the team as a hands-on technical expert who guides others to

build exceptional AI experiences on iOS, iPadOS, macOS, and visionOS.

In this role you will shape how the world's leading organizations design and ship AI-powered

apps on Apple platforms. Your work spans two modes: building sample projects, reference

implementations, and art-of-the-possible demos that showcase what is achievable, and

partnering directly with customer engineering teams as a trusted technical voice that guides

their implementations.

Description

Consult & Architect: Dive deep into our customers' technical landscapes. Analyze their challenges, map out available technologies, and design thoughtful, actionable solutions that drive mutually agreed-upon outcomes.

Build & Innovate: Maintain and enhance the Innovation Lab's technical infrastructure. You will build and deliver high-impact, hands-on demonstrations showcasing the latest in emerging AI and Spatial Computing capabilities.

Evangelize Best Practices: Act as a trusted advisor to technical teams at leading global organizations, sharing expert guidance on the development, integration, and deployment of AI-powered enterprise applications.

Lead with Empathy: Approach every customer interaction with deep curiosity, a customer-centric mindset, and the ability to influence cross-functional teams to consistently deliver excellent outcomes.

Minimum Qualifications

BS in Computer Science (or equivalent experience) and 8+ years of relevant software engineering experience

Hands-on experience developing high-quality native applications for Apple platforms using Swift, SwiftUI, and modern Apple frameworks.

Proven track record building AI-powered applications, with hands-on experience integrating LLMs, deploying on-device ML models, and applying related techniques such as prompt design, evaluation, and agentic workflows.

Strong software engineering fundamentals, with a track record of shipping production systems built on clean, robust, and maintainable code.

Demonstrated ability to rapidly learn and apply new concepts, technologies, and tools.

Excellent written, verbal, and presentation skills.

Preferred Qualifications

Familiarity with Apple's AI/ML stack, including the Foundation Models framework, Core ML, and MLX, and how to apply each to the right problem.

Hands-on experience developing for visionOS using RealityKit and ARKit, or strong interest in Spatial Computing.

A broad understanding of common enterprise technologies, leading ecosystem solutions, and complex integration workflows.

Genuinely curious about AI and ML, with a habit of staying current on new models, techniques, and tools.

Strong relationship-building skills, with the ability to influence and partner cross-functionally across business, product, design, and engineering teams.

Self-directed, detail-oriented, and effective in ambiguous, fast-moving environments.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 58903a19664f64307053051bdb51ad08
  • Posted 30+ days ago
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