Sr Machine Learning Manager, Applied Machine Learning, AI & Data Platforms (AiDP)
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.
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","responsibilities":"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.
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.
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)
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 .
Pay & Benefits
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 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.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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