Siri ML Systems Engineer — Build Production ML Pipelines

Apple Inc.; Cupertino (CA); On-site; USD 129,300 - 225,300; Full time

Benefits offered by this job

Stock programs

Medical & dental coverage

Retirement benefits

Discounted products

Tuition reimbursement

Relocation support

Employee Stock Purchase Plan

Job summary

Apple Inc. in Cupertino, California, is seeking a Machine Learning Systems Engineer for Siri Runtime Systems and Interaction. You will design, implement, and optimize system software that brings ML-powered Siri experiences to life across Apple devices.

Join a collaborative team focused on production ML pipelines, model evaluation, and performance in resource-constrained environments. BS in CS, strong Swift/C++/Objective-C skills, and ML fundamentals are required; experience with Core ML,

Qualifications

• BS (or higher) in Computer Science, Machine Learning, or related disciplines.
• Strong programming skills in Swift / C++ / Objective-C.
• Solid understanding of ML concepts, model inference, and ML system design.

Responsibilities

• Integrating ML models into production software pipelines with focus on performance and reliability.
• Building and optimizing infrastructure for ML model evaluation, analysis, and deployment.
• Optimizing existing systems for ML workloads and debugging complex software-ML integration issues.
• Writing clean, maintainable production code with tests and documentation.
• Contributing to architecture decisions, design reviews, and peer code reviews.

Skills

Swift

C++

Objective-C

ML concepts

Production software

Cross-functional teamwork

Ambiguity tolerance

Education

BS in Computer Science or related

Tools

Core ML

PyTorch

TensorFlow

Job description

Apple Inc. in Cupertino, California, is seeking a Machine Learning Systems Engineer for Siri Runtime Systems and Interaction. You will design, implement, and optimize system software that brings ML-powered Siri experiences to life across Apple devices.

Join a collaborative team focused on production ML pipelines, model evaluation, and performance in resource-constrained environments. BS in CS, strong Swift/C++/Objective-C skills, and ML fundamentals are required; experience with Core ML,