Senior / Staff ML Engineer, Apple Data Platform

Apple • Seattle, WA

2d

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 Apple’s data assets and AI systems. You will build and maintain frameworks that uphold the integrity, privacy, and security of AI initiatives and support responsible management of AI technologies throughout their lifecycle. You will lead a multidisciplinary team of software engineers in architecting next-generation AI and data governance platforms, including scalable systems for the machine learning lifecycle, with a focus on privacy, compliance, security, and strong data governance principles.

Requirements

• At least 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 how they apply to data governance and AI systems.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• Ability to work effectively with diverse teams, including security, legal, privacy, compliance, and data engineering, to drive data and AI governance initiatives.
• Experience designing and implementing data governance frameworks, policies, and standards that support ethical and secure deployment of AI technologies.
• Track record of identifying and mitigating risks in complex distributed data environments, with a focus on maintaining 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 using OAuth 2.0, attribute-based access control, and federated identity.
• Develop backend services and distributed applications that embed privacy, security, and regulatory requirements such as GDPR, CCPA, and DMA into AI and data governance workflows.
• Build batch and streaming pipelines using distributed engines such as Spark, Hadoop, or Flink to transform raw data into governed, machine-learning-ready training and inference inputs.
• Design REST APIs, SDKs, and web-based tools that enable internal teams to manage governance approvals and compliance reviews at scale.
• Architect large-scale, fault-tolerant serving systems on AWS, GCP, or Kubernetes to 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 and support responsible AI at scale.
• Lead a multidisciplinary team of software engineers in developing Apple’s AI and data governance platforms.

What This Job Offers

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