Senior Data and Applied AI Engineer, Core Data & Intelligence

Apple Inc

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$175,000–$308,500 / yr
Posted
7 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k
This role $242k
$122k $328k
below market most similar roles pay here above market

This role pays more than 83% of similar roles. Most pay $152,412–$219,843 — the blue band above. At the midpoint, this role pays about $242k versus about $186k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3595 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2772 roles with salary data.

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At a glance

TL;DR · Senior Data and Applied AI Engineer, Core Data & Intelligence

The Senior Data and Applied AI Engineer, Core Data & Intelligence joins the iCloud team to build consistent, scalable, and timely data infrastructure. This role involves designing and building distributed data systems and backend services to power iCloud analytics and drive product decisions. Key responsibilities include building LLM-powered applications and intelligent agents at scale, curating rich datasets, and ensuring all solutions meet strict privacy and security standards. The successful candidate will utilize Spark, Hadoop, Presto, Flink, or Druid for large-scale data processing. Technical requirements include proficiency in Java, Python, or Scala, along with strong SQL skills and expertise in data architecture, modeling, and the data lifecycle. The work focuses on providing integrated data capabilities for users accessing content across various apps and devices.

What you'll do

  • Build distributed data systems for large-scale data processing and analytics.
  • Develop LLM-powered applications and intelligent agents to automate routine work.
  • Curate and evolve rich datasets regarding iCloud products and platform interactions.
  • Design scalable backend services and data pipelines to meet business needs.
  • Ensure all systems and data solutions comply with privacy and security standards.
  • Write clean, efficient code to maintain and improve software engineering standards.
  • Partner with cross-functional teams to deliver data frameworks that drive business results.

What we're looking for

  • 8+ years of experience building large-scale data pipelines with Spark and other distributed data technologies like Hadoop, Presto, Flink, or Druid.
  • Highly proficient in at least one of Java, Python, or Scala with strong SQL skills.
  • Deep expertise in data principles, data architecture, and data modeling.
  • Solid grasp 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.
  • Experience designing and building LLM-powered applications and intelligent agents at scale (preferred).
  • Experience in a complex, matrixed organization on cross-functional or cross-business projects (preferred).

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