1,392 jobs for "AI Data & Infrastructure Engineer"

Senior Data and Applied AI Engineer, Core Data & Intelligence

At Apple

Posted on Oct 15

View job Apply on company site

Data Engineer-Consultant- AI&E

At Deloitte - Nashville

Posted on Oct 27

View job Apply on company site

Sr. AI Inference Platform Engineer

At Apple - Seattle

Posted on Oct 15

View job Apply on company site

Data Product Manager -Senior Consultant-AI&E

At Deloitte - Jericho · New York

Posted on Oct 27

View job Apply on company site

Petrotechnical Data Solutions Engineer (Upstream)

At Deloitte - Atlanta · Austin

Posted on Oct 27

View job Apply on company site

Finance Data Engineer

At Apple - Austin

Posted on Oct 15

View job Apply on company site

Principal, System Architect (Pre-sales) - Electrical

At Schneider Electric - Petaling Jaya · Bangkok

Posted on Aug 20

View job Apply on company site

Senior Finance Manager, AI & Infrastructure

At Atlassian - Remote / Flexible

Posted on Sep 26

View job Apply on company site

Staff Cloud and AI Solutions Architect

At General Motors - Sunnyvale · Warren

Posted on Sep 18

View job Apply on company site

Senior AI MLOps/DevOps/Cloud Architect

At GE Vernova - Greenville

Posted on Sep 22

View job Apply on company site

Sr. Data Infrastructure Engineer (Remote)

At CrowdStrike - Remote / Flexible

Posted on Aug 31

View job Apply on company site

Site Reliability Engineer - Data Infrastructure

At TikTok - Seattle

Posted on Dec 28

View job Apply on company site

Cybersecurity Architect III

At JPMorgan Chase - London · Glasgow

Posted on Sep 30

View job Apply on company site

Senior Engineer II, Power Infrastructure Lead

At Schneider Electric - Petaling Jaya

Posted on Aug 20

View job Apply on company site

Lead Infrastructure Engineer- Data Center Networking

At JPMorgan Chase

Posted on Sep 21

View job Apply on company site

Lead, Data and AI Engineer

At Schneider Electric - Barcelona

Posted on Jul 24

View job Apply on company site

Senior Lead Software Engineer - AI Development | Engineering Services & Platforms

At JPMorgan Chase - Columbus · Plano

Posted on Sep 2

View job Apply on company site

AI Infrastructure Architect

At Healthfirst - Hybrid

Posted on Sep 30

View job Apply on company site

Data Protection Senior Associate

At DTCC - Jersey City

Posted on Aug 18

View job Apply on company site

Technical Director Core AI Engineering

At Suntory Global Spirits - Madrid

Posted on Sep 25

View job Apply on company site

Apple

Senior Data and Applied AI Engineer, Core Data & Intelligence

ChinaPosted 24 days ago

Apply on company site View full job

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 there's no telling what you can accomplish. Would you like to shape the future of Apple's products and platform, and impact some of the most far-reaching software in the world?

The Core Data & Intelligence organization builds the data, models and services that accelerate the growth of Apple's 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 information.

We're 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 Apple's products and platform better. If hard, high-leverage problems at scale energize you, we'd love to hear from you.

Description
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 products.","responsibilities":"Build distributed data systems. Design and build scalable, highly available systems for large-scale data processing and analytics that deliver consistent results for stakeholders.
Put AI to work. Build LLM-powered applications and intelligent agents at scale that automate routine work and give stakeholders new capabilities.
Protect privacy. Uphold Apple's core values by ensuring every system and solution meets Apple's privacy policy and data security standards.
Own rich datasets. Curate and evolve extremely rich datasets on iCloud products and platform interactions to power a wide range of use cases.
Build for the future. Design solutions that fit cleanly with existing systems, and use sound judgment to bring cutting-edge technologies to iCloud's needs.
Raise the bar on quality. Understand complex systems, write clean and efficient code, and keep improving how we engineer software.
Tie 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.

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

Minimum Qualifications
8+ years building efficient, large-scale data pipelines with Spark and other distributed data technologies (such as 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

View company profile