Machine Learning Systems Engineer (Siri Runtime Systems and Interaction)

Quick Facts

• Role: Machine Learning Systems Engineer (Siri Runtime Systems and Interaction)

Description

You will work at the intersection of software engineering and machine learning to integrate ML capabilities into production systems that power Siri experiences. The role focuses on building and optimizing systems for ML evaluation and deployment, translating model requirements into efficient implementations, and ensuring performance and reliability.

Responsibilities

• Integrate ML models into production software pipelines with a focus on performance and reliability

• Build and optimize infrastructure for ML model evaluation, analysis, and deployment

• Collaborate with ML engineers to understand model requirements and implement them efficiently

• Optimize existing systems for ML workloads and debug complex software–ML integration issues

• Work cross-functionally to drive requirements from concept through feature launch

• Write clean, maintainable production code with comprehensive documentation and tests

• Participate in architecture decisions, design reviews, and peer code reviews

• Enable both engineering and ML teams through scalable systems and improved productivity

Requirements

• Strong programming skills in Swift / C++ / Objective-C

• Solid understanding of machine learning concepts, model inference, and ML system design principles

• Experience developing and optimizing algorithms that run efficiently on resource-constrained platforms

• Ability to thrive in collaborative environments and communicate clearly with engineering and ML teams

• BS (or higher) in Computer Science, Machine Learning, or a related discipline

Benefits

• Opportunity to impact millions of customers by working on advanced Siri and Apple Intelligence technologies

• Work in a cross-functional, high-excellence engineering environment focused on quality and reliability