AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
Description
As a Sr Engineering Manager on the Applied Machine Learning team, you will lead a team software engineers building tools and platform at scale that powers Apple's enterprise GenAI efforts. You'll be responsible for the technical execution and delivery of GenAI platform with distributed compute, storage, ingestion and inference. You'll be working with the team of software engineers and machine learning engineers to build RAG and Agentic platform components. If you have a deep understanding for distributed systems, 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.
Responsibilities
Actively manage performance of the team reporting to you and take responsibility to drive its outcome. Build scalable GenAI platform and applications. 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 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.
Minimum Qualifications
10+ years of experience working on distributed system 6+ years of experience in management or leadership role Deep understanding of GenAI fundamentals Deep understanding of Java, C, C++ or similar programming language Deep understanding of distributed system like flink, spark, NoSql etc. Bachelors Degree in Computer Science or equivalent.
Preferred Qualifications
Track record of leading teams and delivering complex AI projects from conception to production Strong communication skills Understanding of LLM inference and deployment Understanding of RAG and Agentic systems Past experience leading a scalable platform team
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 $188,200 and $325,500, 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 formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
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Apple accepts applications to this posting on an ongoing basis.