Sr Machine Learning Manager, Applied Machine Learning, AI & Data Platforms; AiDP

Summary

Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Ai and Data Platforms - Applied Machine Learning team to pioneer enterprise products where generative AI meets Apple's unique commitment to privacy-first innovation. Together, we'll create tools that redefine industries while safeguarding what matters most – our users' trust.

As a Sr Machine Learning Manager on the Applied Machine Learning team, you will lead a team of ML engineers building SOTA AI models and scalable APIs that power features critical for Apple’s enterprise generative AI efforts. You'll be responsible for the technical execution and delivery of AI systems that span the AI stack — from SOTA models and inference pipelines to developer-facing APIs and service integrations.

This role requires someone who deeply understands both AI/ML fundamentals and engineering principles, able to make informed decisions about how to build systems that support and push the boundaries of modern AI/ML techniques. If you have a deep understanding for AI/ML fundamentals, deep learning, generative AI, strong engineering background and leadership experience, then this role may be a great one for you!

In this role you will lead and mentor forward-thinking engineers and will own related activities and interactions with teams across Apple. You will work cross-functionally with key internal partners, researchers, product teams, and platform engineers for roadmap development and delivery of our products.

• Actively manage performance of the team reporting to you and take responsibility to drive its outcome.
• Build production AI-first software, translating research innovations into shippable, scalable systems.
• Ensure products meet Apple's standards for performance, reliability, scalability, privacy, and user experience.
• Guide development of APIs and frameworks for agentic workflows and/or complex multi-step ML systems.
• Own details of projects and long‑term vision for the team.
• Collaborate optimally with partner/product teams to set the goals, expectations, and roadmaps for their teams.
• Communicate technical details and roadmaps for diverse audiences including engineering partners, product management teams, and executives across Apple.

• 6+ years of overall experience in ML engineering, ML science, or related fields, with 3+ years in technical leadership or management roles.
• Deep understanding of AI/ML and gen AI fundamentals including neural network architectures, attention mechanisms, modern agentic workflows, multi‑step reasoning systems.
• Strong software engineering fundamentals and understanding of API design for complex ML applications.
• Track record of leading teams and delivering complex AI/ML projects from conception to production.
• Strong communication skills.
• BS in Computer Science, Machine Learning, or related field (or equivalent industry experience).

• MS, or PhD in Computer Science, Machine Learning, or related field (or equivalent industry experience).
• Exceptional interpersonal and communication skills, with a proven ability to translate complex technical concepts and roadmaps for diverse audiences, including partner teams, and executive leadership.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $228,100 and $393,800, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs.

Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including:
Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for…