Siri ML Systems Engineer - Production & Systems

Apple, Inc.; Stati Uniti; In loco; USD 130.000 - 170.000; Tempo pieno

Descrizione del lavoro

Apple's Siri Team is seeking a Systems Software Engineer to design, build, and optimize ML-enabled system software powering next-generation Siri experiences. You will blend software engineering with machine learning to deliver high-performance, production-quality code for resource-constrained devices.

Join a cross-functional environment where you will integrate ML models, evaluate infrastructure, and collaborate with ML and engineering teams to drive architectures and feature launches.

Competenze

• BS in CS or related field.
• Production-quality software development experience.
• Experience with ML infrastructure, evaluation pipelines, or training systems.

Mansioni

• Integrating ML models into production software pipelines with focus on performance and reliability.
• Building and optimizing infrastructure for ML model evaluation, analysis, and deployment.
• Collaborating with ML engineers to translate model requirements into efficient system implementations.
• Optimization of existing systems for ML workloads and debugging complex software-ML integration issues.
• Working cross-functionally to drive requirements from concept through feature launch.
• Writing clean, maintainable production code with comprehensive documentation and tests.
• Contributing to architecture decisions, design reviews, and peer code reviews.
• Acting as a force-multiplier by enabling engineering and ML teams to be more productive.

Conoscenze

Swift

C++

Objective-C

ML fundamentals

Model inference

Systems optimization

Cross-functional collaboration

Strong debugging

Formazione

BS in Computer Science

Strumenti

Core ML

PyTorch

TensorFlow

Descrizione del lavoro

Apple's Siri Team is seeking a Systems Software Engineer to design, build, and optimize ML-enabled system software powering next-generation Siri experiences. You will blend software engineering with machine learning to deliver high-performance, production-quality code for resource-constrained devices.

Join a cross-functional environment where you will integrate ML models, evaluate infrastructure, and collaborate with ML and engineering teams to drive architectures and feature launches.