Apple · 21 hours ago
Senior Engineering Manager, Apple Data Platform
Cupertino, CA
Full-time
Onsite
Senior Level, Lead/Staff, Director/Executive
$228K/yr - $394K/yrApple is seeking a Senior Engineering Manager to lead teams building foundational platforms that power large-scale machine learning. This role involves overseeing the design and delivery of core platforms that support the full ML lifecycle, ensuring efficient data access and high-performance systems for training and experimentation.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Lead, mentor, and grow a high-performing organization of software engineers, technical leads, and engineering managers
Set and communicate a clear long-term technical vision aligned with business priorities, and guide short- and mid-term execution toward that vision
Drive the design, delivery, and operation of large-scale ML data and infrastructure platforms that support the full ML lifecycle
Partner closely with ML engineers, data scientists, researchers, and cross-functional stakeholders to define high-impact capabilities and deliver them with quality and reliability
Own reliability, scalability, and operational excellence, including defining success metrics and continuously improving availability and performance
Navigate complex cross-team dependencies and influence without direct authority to drive alignment and execution
Foster a strong engineering culture that values technical excellence, collaboration, accountability, and continuous improvement
Work closely with recruiting to attract and retain top-tier engineering talent and build a diverse, inclusive team
Represent the organization’s technical direction and progress to senior leadership and key stakeholders
Qualification
Required
Proven ability to define and execute a forward-looking technical vision, with a strong understanding of emerging trends in AI, generative models, and data-centric machine learning
Demonstrated experience delivering large-scale distributed systems and ML/data infrastructure into production environments
Strong track record of leading, mentoring, and scaling high-performing infrastructure and platform teams
Deep passion for building reliable, scalable systems with high availability, strong performance, and an excellent developer experience
Experience navigating complex, cross-functional environments and managing expectations across multiple stakeholders and partner teams
Proven ability to partner effectively with recruiting to attract, assess, and grow top technical talent
Excellent communication skills, with the ability to clearly articulate technical strategy, trade-offs, and impact to diverse audiences, including senior leadership
Strong business acumen and results-driven mindset, with the ability to balance long-term strategic investments with near-term delivery
Comfortable operating in ambiguity, taking initiative, and leading teams through fast-paced, evolving problem spaces
B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or equivalent practical experience
Preferred
Experience leading platforms that support data-centric ML, foundation models, or generative AI workloads at scale
Familiarity with multimodal data systems spanning text, images, audio, video, and embeddings
Experience designing or operating high-performance data access paths for ML training, including streaming, sharding, random access, and large-scale sequential reads
Background working with ML practitioners, data scientists, and researchers to translate research needs into scalable production systems
Experience operating ML infrastructure across heterogeneous environments, including on-prem, hybrid, or multi-cloud deployments
Exposure to governance, lineage, and compliance considerations in large-scale data and ML platforms
Strong perspective on where ML platforms and AI infrastructure are headed, and the ability to adapt platform strategy as the ecosystem evolves
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
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
Founded in 1976
10001+ employees
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 CompanyTotal Funding
$5.67BKey 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
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase