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Senior Data and Applied AI Engineer, Core Data & Intelligence

Apple


Job Location:

Cupertino, CA - USA

Monthly Salary: Not provided by the employer
Posted: 14 August 2026 (30+ days ago)
Application Deadline: 1 January 2027
Vacancies: 1 Vacancy

Job Summary

Imagine what you could do here. At Apple new ideas become extraordinary products services and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you can accomplish. Would you like to shape the future of Apples products and platform and impact some of the most far-reaching software in the worldnnThe Core Data u0026 Intelligence organization builds the data models and services that accelerate the growth of Apples services. This role sits on the team focused on iCloud. We enable better products features and infrastructure for iCloud users who access all their content across apps (Photos Mail Messages FaceTime Calendar and more) from all their devices all the time. We do that by providing consistent scalable timely accurate complete and fully integrated data infrastructure and capabilities that accurately surface relevant looking for an exceptional Data and Applied AI Engineer with a strong background in distributed data processing sharp and demonstrable data intuition and a passion for using data to make Apples products and platform better. If hard high-leverage problems at scale energize you wed love to hear from you.

You will build large-scale data pipelines and backend services and partner closely with teams across iCloud to turn business needs into data solutions iterating quickly at every stage of the pipeline. You will have real ownership and influence over the data platform that powers iCloud analytics and drives decisions across our you are:nYou are tenacious relentless and are curious: always learning new technologies quickly synthesizing new information and understanding the why before the turn vague requirements into scalable data care about excellence and enjoy picking up new technologies and frameworks.

Build distributed data systems. Design and build scalable highly available systems for large-scale data processing and analytics that deliver consistent results for AI to work. Build LLM-powered applications and intelligent agents at scale that automate routine work and give stakeholders new privacy. Uphold Apples core values by ensuring every system and solution meets Apples privacy policy and data security rich datasets. Curate and evolve extremely rich datasets on iCloud products and platform interactions to power a wide range of use for the future. Design solutions that fit cleanly with existing systems and use sound judgment to bring cutting-edge technologies to iClouds the bar on quality. Understand complex systems write clean and efficient code and keep improving how we engineer technology to outcomes. Understand how key technical decisions drive business results and partner with cross-functional teams to deliver data frameworks and platforms that get there.

8 years building efficient large-scale data pipelines with Spark and other distributed data technologies (such as Hadoop Presto Flink or Druid).nHighly proficient in at least one of Java Python or Scala with strong SQL expertise in data principles data architecture and data grasp of the data lifecycle including lineage governance privacy retention and -on experience working with LLMs and developing AI degree in Computer Science or Engineering or equivalent work experience in data engineering.

Experience designing and building LLM-powered applications and intelligent agents at in a complex matrixed organization on cross-functional or cross-business communication and collaboration skills with the ability to lead discussions on technology strategy and track record of improving how an organization uses data.

Required Experience:

Senior IC


About Company

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Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more

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