Software Engineer - AI & Data Platform Frameworks

Apple Inc.; Austin, Northern (TX, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Apple Inc. in Austin, Texas, is seeking a Framework Software Engineer to build tools and frameworks for Data and ML platforms within AiDP. You will work on data processing, observability, lineage, model hub, and data visualization, leveraging Java or Python and cloud-native tech.

Collaborating with teams across data engineering, ML, and product, you will deliver scalable, high-quality software under tight timelines, contributing to Apple’s enterprise and customer technology ecosystems.

Qualifications

• 2+ years or more of hands-on proficiency with Java and/or Python or similar language
• Deep understanding of data structures and algorithms
• Experience designing and developing scalable & performant micro-services and Rest APIs
• Knowledge of cloud computing platforms like AWS, Google Cloud, Azure or similar
• Bachelor's degree in computer science or related field

Responsibilities

• Build tools and features for Data and ML platforms, including data processing, insights portal, data observability, data lineage, model hub, and data visualization
• Extend functionality of 3rd party BI tools using APIs
• Collaborate with cross-functional teams to deliver high-quality software under tight deadlines

Skills

Java

Python

Microservices

REST APIs

Cloud platforms

Data structures

Algorithms

Education

Bachelor's degree in computer science or related field

Tools

Big data technologies

Distributed computing

Frontend frameworks

SQL

NoSQL data stores

Job description

Apple Inc. in Austin, Texas, is seeking a Framework Software Engineer to build tools and frameworks for Data and ML platforms within AiDP. You will work on data processing, observability, lineage, model hub, and data visualization, leveraging Java or Python and cloud-native tech.

Collaborating with teams across data engineering, ML, and product, you will deliver scalable, high-quality software under tight timelines, contributing to Apple’s enterprise and customer technology ecosystems.