Apple · 1 month ago
WW Consulting Engineer - AI/ML
Chicago, Illinois, United States
Full-time
Onsite
Senior Level
$183K/yr - $275K/yr
7+ years expApple is a leading technology company known for its innovative products and commitment to environmental efforts. They are seeking a Worldwide Consulting Engineer focused on AI/ML to ensure the technical integrity and strategic positioning of Apple platforms in the business and education sectors. This role involves providing deep domain expertise, shaping AI/ML initiatives, and driving the adoption of Apple technologies across global sales organizations.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
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
Qualification
Required
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 SageMaker, 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
Preferred
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, fine-tuning, and running inference for popular models, especially Large Language Models (LLMs), on Mac hardware
Demonstrated experience in optimizing and deploying machine learning models for on-device inference, particularly on Apple Silicon, leveraging frameworks like Core ML Tools, Metal Performance Shaders, or other low-level optimization techniques
Practical experience with generative AI models beyond LLMs (e.g., diffusion models, GANs) and their application in enterprise, education, or government use cases
Hands-on experience with scripting or automation tools (Swift, Bash, Python, or similar) for testing, deployment, or performance analysis
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
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2025-12-01
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Mac Daily News
2025-09-25
Company data provided by crunchbase