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Senior Machine Learning Manager, Generative Experiences jobs in United States
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Apple · 4 hours ago

Senior Machine Learning Manager, Generative Experiences

Apple is committed to crafting products that provide an exceptional user experience. They are seeking an experienced and visionary Machine Learning Manager to lead a core team developing generative AI-powered search and discovery products, guiding the team through technical complexities and establishing a clear vision for product innovation.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Recruitment, Management, and Growth: Oversee the recruitment, management, and development of a high-performing team of machine learning engineers, ensuring their technical proficiency and career advancement
Product Shaping: Collaborate closely with Product Management and Design leaders to define the product vision, strategy and user experience for our generative AI features. Champion a user-centric approach in all technical decisions
Technical Roadmap Development: Develop and execute a comprehensive long-term technical roadmap for your team, translating ambiguous business objectives into tangible milestones and guiding the transition from research to production
Excellence in Execution: Lead cross-functional initiatives, fostering alignment across engineering, research, and infrastructure teams to deliver complex, high-impact projects on time and within budget
Innovation and Exploration: Stay at the forefront of generative AI research, including areas such as RAG, fine-tuning, agentic systems, and evaluation, identify and prototype novel techniques and technologies that can enhance product experiences
ML Lifecycle Management: Oversee the end-to-end machine learning lifecycle, encompassing data strategy , prototyping, system development, deployment, and monitoring of production-scale systems. Define and implement robust evaluation frameworks to assess model quality , user satisfaction, and business impact

Qualification

Machine Learning ManagementNatural Language ProcessingLarge Language ModelsTechnical Roadmap DevelopmentGenerative AI ResearchCross-functional CollaborationUser Experience AdvocacyCommunication

Required

6+ years of experience in a formal management role, leading teams of machine learning engineers or research scientists
Experience building and shipping production-level ML systems related to Natural Language Processing (NLP), Search, or Information Retrieval
Demonstrated experience leading cross-functional projects, with a history of successful collaboration with Product Management, Design, and other engineering leadership
Proven ability to take ambiguous, high-level product goals and define a clear vision, strategy, and actionable roadmap for a technical team
Bachelor's degree in Computer Science, Machine Learning, Statistics, or a related technical field, or equivalent practical experience

Preferred

Master's or PhD in Computer Science, Machine Learning, or a related field
Direct, hands-on experience building and deploying systems using Large Language Models (LLMs), such as retrieval-augmented generation (RAG), fine-tuning, or agent-based systems
A strong portfolio or demonstrated history of influencing product direction by championing user experience, especially in the context of generative AI or search products
Deep expertise in designing novel evaluation methodologies and metrics for generative models, encompassing both offline analysis and online A/B testing for user-facing experiences
A track record of staying current with state-of-the-art research (e.g., via conferences, publications, or personal projects) and successfully applying innovative techniques to solve product problems
Excellent communication skills, with the ability to articulate complex technical concepts and the rationale for key decisions to diverse stakeholders, including senior leadership

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 is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

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 Company
Total Funding
$5.67B
Key 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

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Tim Cook
CEO
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Craig Federighi
SVP, Software Engineering
Company data provided by crunchbase