Apple · 2 months ago
AIML - Senior Data Engineer, Machine Learning Platform Technologies
Seattle, Washington, United States
Full-time
Onsite
Senior Level, Lead/Staff
$201K/yr - $302K/yr
10+ years expApple is seeking a Senior Data Engineer for their Machine Learning Platform Technologies team. In this role, you'll design and build a scalable dataset management platform that enables teams across Apple to manage ML datasets, ensuring compliance and governance. This position requires deep expertise in big data infrastructure and offers the opportunity to shape the ML innovations that enhance customer experiences.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Architecting and building Apple's next-generation ML dataset management platform
Design scalable infrastructure that supports dataset operations at massive scale while maintaining strong governance guarantees
Building data lineage tracking systems, implementing automated compliance workflows, creating intuitive APIs and SDKs for dataset access, and ensuring seamless integration with ML training and evaluation pipelines
Collaborating with teams building customer-facing ML features across iOS, macOS, and other Apple platforms, as well as compute infrastructure teams and ML framework owners
Qualification
Required
Bachelor's degree in Computer Science, related field, or equivalent practical experience
10+ years building and scaling data infrastructure for petabyte-scale ML workloads with high reliability
Deep expertise in modern data technologies (Apache Iceberg, Spark, S3, distributed systems), data modeling, schema evolution, and efficient storage formats (Parquet, Arrow, ORC)
Experience building data pipelines that handle diverse ML data types: structured/tabular data, unstructured media (images, video, audio), embeddings, and multimodal datasets
Proven track record building dataset management systems including versioning, metadata management, discovery, and integration with production ML training pipelines
Experience designing data governance frameworks including lineage tracking, access control, retention policies, and compliance workflows
Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes)
Strong cross-functional collaboration skills to understand diverse stakeholder needs and articulate technical decisions across ML engineering, data science, legal, and product teams
Preferred
Hands-on experience curating or managing datasets for production ML models
Experience with data cataloging systems, metadata platforms, MLOps tools, or ML training frameworks
Knowledge of privacy-preserving technologies and data quality/validation frameworks
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.
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