Senior Data and Applied AI Engineer, Core Data & Intelligence

This role supports Apple’s Core Data & Intelligence organization by building the large-scale data infrastructure and applied AI capabilities used for iCloud analytics. You will partner with iCloud teams to translate business needs into data solutions and help shape the platform that drives product decisions.

What You’ll Do

• Design and build large-scale data pipelines and backend services, working closely with teams across iCloud to convert business requirements into implemented data solutions.
• Iterate quickly across pipeline stages to improve reliability, performance, and usefulness of downstream analytics.
• Exercise real ownership and influence over the data platform powering iCloud analytics, impacting how data informs decisions across Apple products.

What You Bring

• 8+ years of experience building efficient, large-scale data pipelines using Spark and other distributed data technologies, such as Hadoop, Presto, Flink, or Druid.
• High proficiency in at least one of Java, Python, or Scala, with strong SQL skills.
• Deep expertise in data principles, data architecture, and data modeling.
• Solid understanding of the data lifecycle, including lineage, governance, privacy, retention, and anonymity.
• Hands-on experience working with LLMs and developing AI agents.
• Bachelor’s degree in Computer Science or Engineering (or equivalent work experience in data engineering).

Relevant Technologies

Spark, Hadoop, Presto, Flink, Druid, Java, Python, Scala, SQL, LLMs, AI agents

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses, including tuition
• Discretionary bonuses or commission payments, as well as relocation (as applicable)
• Apple shareholder opportunity through Apple’s discretionary employee stock programs, including eligibility for discretionary restricted stock unit awards and ability to purchase Apple stock at a discount through participation in the Employee Stock Purchase Plan

Preferred Qualifications

• Experience designing and building LLM-powered applications and intelligent agents at scale
• Experience working in a complex, matrixed organization on cross-functional or cross-business projects
• Strong communication and collaboration skills, including the ability to lead technical discussions on strategy and approach
• Proven track record of improving how an organization uses data