Senior / Staff ML Engineer, Apple Data Platform

Apple • Cupertino, CA

3d

About The Position

As a Senior Software Engineer in Apple AI and Data Governance, you will design and implement solutions for the ethical, secure, and compliant use of data assets and AI systems. You will build and maintain frameworks that protect the integrity, privacy, and security of Apple’s AI initiatives while addressing regulatory requirements. The role connects technical innovation with compliance and supports responsible management of AI technologies throughout their lifecycle.

You will lead a multidisciplinary team of software engineers in architecting Apple’s next-generation AI and data governance platforms. You will develop scalable systems that manage the machine learning lifecycle and support privacy, compliance, security, and strong data governance principles.

Requirements

• 8+ years of experience developing data and AI governance software or integrating systems with governance systems.
• Experience working with large data collection and processing systems.
• Demonstrated proficiency in data management and building scalable systems that underpin AI applications.
• Strong understanding of privacy and regulatory requirements, including GDPR, CCPA, and DMA, and their application to data governance and AI systems.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• Proven ability to work effectively with security, legal, privacy, compliance, and data engineering teams to advance data and AI governance initiatives.
• Experience designing and implementing data governance frameworks, policies, and standards that support ethical and secure AI deployment.
• Track record of identifying and mitigating risks in complex distributed data environments, with a focus on compliance in AI-driven projects.

Responsibilities

• Design, build, and deploy scalable AI and data governance and lineage systems to track datasets, models, and policies across the machine learning training and post-training lifecycle.
• Architect and implement authentication and access control frameworks for machine learning training data, model artifacts, and inference endpoints.
• Develop backend services and distributed applications that embed privacy, security, and regulatory requirements into AI and data governance workflows.
• Build batch and streaming pipelines to transform raw data into governed, machine-learning-ready training and inference inputs.
• Design REST APIs, SDKs, and web-based tools for internal teams to manage governance approvals and compliance reviews at scale.
• Architect large-scale, fault-tolerant serving systems that safeguard data integrity, availability, and auditability across AI governance platforms.
• Collaborate with security, legal, privacy, and data engineering teams to identify and mitigate risks in complex distributed environments.
• Lead a multidisciplinary team of software engineers in developing AI and data governance platforms.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior