Platform AI Engineer for Siri & ML Pipelines

Apple; Denver (CO); On-site; USD 27,552 - 41,328; Full time

Job summary

Apple in Denver is seeking a Platform Engineer to contribute to mobile computing by developing open-source technologies for large-scale systems, natural language, ML, and AI. You will collaborate with the Siri team to enhance the assistant’s capabilities and move ML models to improve on-device runtime performance.

You will work with researchers, ML engineers, and data scientists to build systems and tools that improve Siri’s language understanding, and coordinate with cross-functional teams to

Qualifications

• Bachelor's Degree required.
• Experience with Python and Perl scripting.
• Familiarity with C++, Objective-C, Java.
• Strong troubleshooting skills.
• Experience with large data pipelines; ML pipeline experience is a plus.
• Good knowledge of Linux and Bash.
• Experience with CI/CD tools like TeamCity or Jenkins.

Responsibilities

• Contribute to products that define mobile computing by developing open‑source technologies for large‑scale systems, natural language, machine learning, and AI.
• Work with the Siri team at Apple to enhance the assistant’s capabilities.
• Move existing machine learning models, analyze and improve runtime performance on device, and deploy the Siri output system.
• Collaborate with researchers, machine learning engineers, and data scientists to develop systems and tools that improve Siri’s natural language understanding.
• Coordinate with cross‑functional teams to build systems, solve problems, and advance Siri’s precision and intelligence.

Skills

Python

Perl scripting

Troubleshooting

Education

Bachelor's Degree

Tools

C++

Objective-C

Java

Bash

Linux

TeamCity

Jenkins

Job description

Apple in Denver is seeking a Platform Engineer to contribute to mobile computing by developing open-source technologies for large-scale systems, natural language, ML, and AI. You will collaborate with the Siri team to enhance the assistant’s capabilities and move ML models to improve on-device runtime performance.

You will work with researchers, ML engineers, and data scientists to build systems and tools that improve Siri’s language understanding, and coordinate with cross-functional teams to