WW Consulting Engineer - AI​/ML

Summary

Imagine what you could do here. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s 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 it.

Apple's 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 environments.

• Lead and serve as the WW Subject Matter Expert for Artificial Intelligence (AI) and Machine Learning (ML) across Apple's Enterprise, Education & Government sales organization.
• Empower and educate global Field Sales Engineers, customers and partners on Apple's product advantages (Mac, iOS, iPadOS, Apple Silicon) in the context of diverse AI/ML solutions, including cloud-based, hybrid, and edge-based architectures.
• Develop and articulate compelling technical value propositions for Apple platforms, demonstrating their role and benefits in a wide array of AI/ML use cases across enterprise, education, and government sectors.
• Collaborate with cross‑functional teams (e.g., Product Marketing, Business Markets, Engineering, Sales Leadership) to define and refine go‑to‑market strategies and solution offerings for AI/ML leveraging Apple technology.
• Engage directly with strategic customers and partners in deep technical discussions, understanding their AI/ML initiatives, and positioning Apple's unique capabilities to meet their needs and drive innovation.
• Advise on the scalability strategy for on‑device or edge ML solutions, determining when a single MLX instance is sufficient versus when an EXO‑powered cluster is necessary.
• Monitor and analyze emerging AI/ML trends, technologies, and industry shifts, translating these insights into actionable guidance and strategic recommendations for field teams and leadership.
• Lead and participate in key customer and partner engagements, including executive briefings, workshops, proof‑of‑concepts, and technical presentations, showcasing Apple's leadership and differentiation in the AI/ML space.
• Contribute to the development of technical resources, training modules, and best practices to scale AI/ML knowledge and capabilities across the global sales organization.
• Drive thought leadership internally and externally on the transformative impact of AI/ML on work and learning, with a focus on Apple's contributions and advantages.

• 7+ years of experience in a highly technical role such as Solutions Architect, Principal Engineer, Technical Evangelist, or Technical Consultant, with a dedicated focus on Artificial Intelligence and Machine Learning.
• Deep and demonstrable expertise in Artificial Intelligence and Machine Learning concepts and applications, including:
  • Machine Learning algorithms (supervised, unsupervised, reinforcement learning)
  • Deep Learning architectures (e.g., CNNs, RNNs, Transformers)
  • MLOps principles and practices, data science methodologies, and model deployment strategies.
• Experience with major cloud AI/ML services (e.g., AWS Sage Maker, Azure ML, Google AI Platform).
• Strong understanding of edge AI/ML deployment, optimization, and frameworks.
• Ability to engage directly with large organizations and partners on strategic opportunities, advocating for Apple’s platform advantages in real‑world use cases.
• Deep technical knowledge of Apple Silicon architecture, including system‑on‑chip design, performance optimization, and platform‑level security capabilities.

• Experience collaborating directly with product management, software engineering, and hardware engineering teams to influence platform direction and roadmap priorities.
• Experience in using MLX for training,…