Machine Learning Engineer , AI and Data Platforms

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Would you like to work in a fast-paced environment where your technical abilities are challenged daily? If so, Apple's AI & Data Platforms team is seeking a Software Engineer to design and build high-performance data systems that power analytics, AI, and business-critical insights with minimal latency and exceptional reliability. You'll develop scalable, distributed data services that embed Generative AI capabilities — making complex data more accessible, intelligent, and actionable across Apple. We're looking for a team member who can think outside the box and has a genuine passion for building robust, high-throughput data platforms with end users and data consumers in mind. You'll engage directly with key business and engineering partners to understand strategic needs, drive technical discussions, and design solutions that turn data into intelligence at scale.

Description

We’re looking for an engineer who thrives on solving complex challenges, approaches problems with imagination, and delivers elegant, high-quality solutions under real-world constraints. You should be comfortable working in fast-moving, collaborative teams, yet equally capable of driving initiatives independently from concept to completion. In this role, you’ll build and evolve distributed data systems that integrate open-source technologies with Apple’s internal platforms. You’ll design and implement new components and features across the full development lifecycle delivering at a regular cadence with a focus on performance, scalability, and maintainability. You'll partner closely with internal customers to understand analytical workflows and data needs, proposing enhancements and ecosystem improvements that streamline their experience and enable deeper, faster insights. You'll design data systems that leverage Generative AI and intelligent automation — ensuring these capabilities are performant, reliable, and scalable. Success in this role requires a balance of creativity and rigor: the ability to architect robust, efficient systems that handle large-scale data processing, while continuously seeking opportunities to innovate and automate.

Minimum 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 Familiarity with BI concepts and foundational Generative AI concepts (LLMs, prompt engineering)

Preferred Qualifications

Bachelor's degree in Computer Science or equivalent experience