Apple
Senior / Staff ML Engineer, Apple Data Platform
$175K–$308K
Seattle, Washington · Staff · Full-time · Posted Oct 19, 2026
- Experience
- 8+ years.
- Education
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
About the job
Leads the design and development of scalable AI and data governance platforms that manage machine-learning data, models, policies, privacy, and compliance across their lifecycle.
What you'll do
- Build governance and lineage systems and access-control frameworks for training data, model artifacts, and inference endpoints.
- Develop backend services, data pipelines, APIs, and tools that embed privacy, security, and regulatory requirements into governance workflows.
- Architect fault-tolerant governance platforms and collaborate with security, legal, privacy, and data engineering teams to mitigate risks.
What they ask for
- 8+ years of experience developing Data & AI governance software or integrating systems with governance systems.
- Experience with large data collection and processing systems.
- 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 a bachelor's or master's degree in Computer Science, Information Systems, or a related field.
Nice to have
- Experience designing and implementing data governance frameworks, policies, and standards for ethical and secure AI deployment.
- Experience identifying and mitigating risks in complex distributed data environments and working across diverse teams.
Pay
$175,000 and $308,500 USD base salary
Tools
Java, Scala, Kotlin, Go, Python, Spark, Hadoop, Flink
AI focus
Builds governance and lineage systems for the machine-learning lifecycle, embedding privacy, security, regulatory compliance, and responsible AI practices.
Model-written summary · the original posting is authoritative