WW Consulting Engineer AIML

Imagine what you could do here. The people here at Apple dont just create products they create the kind of wonder thats revolutionized entire industries. Its the diversity of those people and their ideas that inspires the innovation that runs through everything we do from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found Sales organization generates the revenue needed to fuel our ongoing development of products and services. This in turn enriches the lives of hundreds of millions of people around the world. Our sales team is in many ways the face of Apple to our largest customers. Our Business and Education customers around the globe need to know that Apple is committed to their success and that our technologies will seamlessly integrate into their a Worldwide Consulting Engineer focused on AI/ML within Apples Enterprise Education u0026 Government sales organization you will be a critical part of a global team responsible for ensuring the technical integrity and strategic positioning of Apple platforms and solutions in the rapidly evolving AI/ML landscape. You will be a strategic advisor technical visionary and subject matter expert shaping the future of Apples presence in business and education organizations will provide deep domain expertise across cloud hybrid and on-device/edge AI/ML solutions demonstrating Apples unique advantages in end-user compute and mobility including Apple Silicon the Neural Engine Apple Foundation Models and Private Cloud Compute and how they extend to critical areas such as industry trends use case development and the transformative impact of AI/ML on work and will be instrumental in identifying and surfacing technical barriers to broader adoption of Apple technologies within Business and Education environments effectively communicating customer needs and insights directly to Software Hardware Services and Product teams. You will be a key bridge between customers and Apples engineering teams ensuring that market trends are reflected in Apples product roadmap.

In this role you will:nEmpower and educate global Field Sales Engineers customers and partners on Apples product advantages Mac iOS iPadOS Apple Silicon across cloud-based hybrid on-device and edge AI/ML architectures with fluency in where each deployment model is most and articulate compelling technical value propositions for Apple platforms across enterprise education and government sectors with particular depth around Apple Foundation Models (AFM) on-device inference and Apple Intelligence with cross-functional teams including Product Marketing Business Markets Engineering and Sales Leadership to define and refine go-to-market strategies and AI/ML solution offerings leveraging Apple directly with strategic customers and partners in deep technical discussions understanding their AI/ML initiatives and positioning Apples unique capabilities including Private Cloud Compute (PCC) privacy guarantees to meet their needs and drive on scalability strategies for on-device and edge AI/ML solutions determining when a single node is sufficient versus when a cluster approach is necessary including hardware selection and model serving architecture for sovereign AI enterprise customers and developers on integrating AI/ML capabilities into applications using approaches such as Model Context Protocol (MCP) and App Intents and how to evaluate tradeoffs between and analyze emerging AI/ML trends technologies and industry shifts translating insights into actionable guidance for field teams and leadership with a continuous learning key customer and partner engagements including executive briefings workshops proof-of-concepts and technical presentations showcasing Apples leadership in the AI/ML to technical resources training modules and best practices that scale AI/ML knowledge and capabilities across the global sales thought leadership internally and externally on the transformative impact of AI/ML on work and learning with a focus on Apples contributions and : This role requires periodic domestic and international travel.

7 years of experience in a highly technical customer-facing AI/ML role such as a Solutions Engineer or Solutions Architect at a major cloud provider; a Field CTO Technical Evangelist or Field Engineer at an AI platform or foundation model company; or a Principal Technical Consultant at an enterprise technology and demonstrable expertise in AI/ML concepts and applicationsincluding:nMachine learning algorithms (supervised unsupervised reinforcement learning)nDeep learning architectures (CNNs RNNs Transformers diffusion models)nMLOps principles data science methodologies and model deployment strategiesnHands-on experience with major cloud AI/ML platforms (e.g. AWS SageMaker Azure ML Google AI Platform)nDeep hands-on knowledge of Apples on-device AI/ML stackincluding:nUnderstanding of Apple Silicon architecture and its benefits for on-device inference and other AI/ML workflowsnApple Foundation Models (AFM) and their capabilities and appropriate use casesnCore ML Core ML Tools and related on-device inference frameworksnPrivate Cloud Compute (PCC) architecture and privacy guaranteesnStrong ability to articulate the distinction between on-device inference Private Cloud Compute and third-party cloud-hosted models and when each is the right architecture for a given use ability to engage directly with large organizations and partners on strategic AI/ML opportunities advocating for Apples platform advantages in real-world use cases.

Experience collaborating with product management software engineering and hardware engineering teams to influence platform direction and roadmap -on experience with MLX for training fine-tuning and running inference with LLMs and other model types on Mac hardware including awareness of model sizing tradeoffs for on-device experience optimizing and deploying machine learning models for on-device inference on Apple Silicon leveraging Core ML Tools Metal Performance Shaders or other optimization experience designing or advising on sovereign/private AI cluster deployments using Apple hardware including Mac selection and configuration model serving and remote client building AI/ML capabilities into applications using Model Context Protocol (MCP) including building MCP servers and/or App Intents for Siri and Apple Intelligence experience with generative AI models beyond LLMs (e.g. diffusion models GANs) and their application in enterprise education or government with Apple developer tooling relevant to AI/ML including Xcode (including agentic coding features) and the Foundation Models -on experience with scripting or automation (Swift Python Bash or similar) for testing deployment or performance analysis.