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Senior / Staff ML Engineer, Apple Data Platform

Apple· Software and Services
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Cupertino$184.7k - $324.8kFull-timePosted 3d ago

About the role

Senior Software Engineer role in Apple AI and Data Governance to design and implement robust, ethical, secure, and compliant data and AI governance platforms across the ML lifecycle. Leads a multidisciplinary team to build scalable systems for data, models, and policies with strong privacy and regulatory alignment.

Responsibilities

  • Design, build, and deploy scalable AI and Data governance and lineage systems that track datasets, models, and policies across Apple's 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, ABAC, and federated identity.
  • Develop backend services and distributed applications in Java, Scala, Kotlin, Go, or Python embedding privacy, security, and regulatory requirements (GDPR, CCPA, DMA) into governance workflows.
  • Build batch and streaming pipelines using distributed engines (Spark, Hadoop, Flink) to transform raw data into governed, ML-ready inputs.
  • Design REST APIs, SDKs, and web tools (Spring, React, Node.js) for governance approvals and compliance reviews at scale.
  • Architect large-scale, fault-tolerant serving systems on AWS, GCP, or Kubernetes ensuring data integrity, availability, and auditability across governance platforms.
  • Collaborate with security, legal, privacy, and data engineering teams to identify and mitigate risk in distributed environments.

Qualifications

  • 8+ years experience in 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 for AI applications.
  • Strong understanding of privacy and regulatory requirements (e.g., GDPR, CCPA, DMA) and their application to Data Governance and AI systems.
  • Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
  • Proven ability to work with diverse teams (security, legal, privacy, compliance, data engineering).
  • Experience designing and implementing robust data governance frameworks, policies, and standards for ethical and secure AI deployments.
  • Track record of identifying and mitigating risks in complex distributed data environments with focus on AI compliance.

Skills

Required:JavaPythonOAuth 2.0ABACFederated identityGDPRCCPADMAKubernetes
Nice to have:ScalaKotlinGoSparkHadoopFlinkAWSGCP

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement (tuition)
  • Discretionary bonuses or commissions may be eligible
  • Relocation assistance possibly eligible
  • Apple shareholder opportunities through stock programs
  • Discretionary employee stock plan participation
  • Eligibility for Employee Stock Purchase Plan (ESPP)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Apple

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