Apple is seeking a Senior Data Engineer to join their Machine Learning and AI team in Seattle. This role focuses on building privacy-preserving data systems that power ML models, analytic dashboards, and feedback systems. The ideal candidate will have expertise in data engineering, privacy protection, and experience with both client and server-side data processing.
Key Responsibilities:
- Design and implement data systems for both large, distributed systems and smaller enclaves on Apple devices
- Define schemas, privacy policies, aggregation granularity, system schedulers, retention rules, server pipeline processes, and redaction strategies
- Work across Apple's OSs, handling on-device data processing and large-scale data center operations
- Continuously improve products through measurement and data analysis
- Collaborate with data scientists, ML engineers, and software engineers
Required Qualifications:
- 5+ years in a data engineering role
- 4+ years of coding in Python, Java, Scala, Swift, or other mainstream programming languages
- 4+ years of data modeling experience in analytics or ML
- Proven experience leading major multi-functional data initiatives
Preferred Qualifications:
- Experience designing both client and server code for data pipelines
- Expertise in designing instrumentation and logging schemas
- Knowledge of privacy-preserving methodologies such as differential privacy
- Proficiency in expressing complex logic in both SQL and programming languages
Apple offers a competitive compensation package, including base pay, potential stock awards, and comprehensive benefits. The company is committed to inclusion, diversity, and equal opportunity employment.
Join Apple's AIML Data Engineering team to drive meaningful impact while upholding the company's commitment to privacy as a fundamental human right.