Sr Machine Learning Manager, Applied Machine Learning, AI & Data Platforms at Apple

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

0.0

Posted On

03 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning Engineering, Technical Leadership, AI Models, Scalable APIs, Generative AI, Inference Pipelines, Service Integrations, AI/ML Fundamentals, Deep Learning, Engineering Principles, Mentoring, Roadmap Development, Cross-functional Collaboration, Software Engineering, API Design

Industry

Computers and Electronics Manufacturing

Description

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. DESCRIPTION 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. MINIMUM QUALIFICATIONS 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) PREFERRED QUALIFICATIONS 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.

Responsibilities

The manager will lead a team of ML engineers to build state-of-the-art AI models and scalable APIs that support Apple's enterprise generative AI initiatives. This includes owning the technical execution and delivery of AI systems across the entire stack, from models to service integrations.