Machine Learning Engineer for Generative AI Data Platforms

Apple Inc.; Cork; On-site; EUR 90,000 - 140,000; Full time

Job summary

Apple Inc. in Cork, Ireland is seeking a Machine Learning Engineer for its AI & Data Platforms (AiDP) team. You will design and build high-performance data systems powering analytics, AI, and business-critical insights with minimal latency and reliability.

You will integrate open-source technologies with Apple’s internal platforms, delivering scalable data services and Generative AI capabilities for end users and data consumers. Collaboration with partners is essential for impactful solutions.

Qualifications

• Experience building enterprise-level data applications on distributed systems and cloud databases (Snowflake, BigQuery).
• Strong programming skills in Python, Scala, or Java with hands-on experience in relational databases and RESTful API development.
• Demonstrated knowledge of Software Engineering best practices, including test-driven development

Responsibilities

• Design and build high-performance data systems that power analytics, AI, and business-critical insights with minimal latency and exceptional reliability.
• Develop scalable, distributed data services that embed Generative AI capabilities across the stack.
• Collaborate directly with key business and engineering partners to turn data into intelligence at scale.

Skills

Python

Scala

Java

RESTful API

Test-driven development

BI concepts

Generative AI

Education

Bachelor's degree in CS or equivalent

Tools

Snowflake

BigQuery

Job description

Apple Inc. in Cork, Ireland is seeking a Machine Learning Engineer for its AI & Data Platforms (AiDP) team. You will design and build high-performance data systems powering analytics, AI, and business-critical insights with minimal latency and reliability.

You will integrate open-source technologies with Apple’s internal platforms, delivering scalable data services and Generative AI capabilities for end users and data consumers. Collaboration with partners is essential for impactful solutions.