Siri ML Systems Engineer: Runtime & Interaction

Apple, Inc.

Cupertino (CA)

In loco

USD 129.000 - 225.000

Tempo pieno

10 ore fa
Candidati tra i primi

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Descrizione del lavoro

Apple, Inc. in Cupertino, CA, is seeking a Machine Learning Systems Engineer for Siri Runtime Systems and Interaction. You will design and optimize system software that embeds ML capabilities, and you will integrate models into production pipelines with a focus on performance and reliability.

Join a cross-functional team to translate model requirements into scalable, high-quality software. You will contribute to architecture decisions, write clean production code, and help deliver delightful

Competenze

  • Strong programming skills in Swift, C++, or Objective-C.
  • Solid understanding of ML concepts, model inference and ML system design.
  • Experience optimizing algorithms for resource-constrained platforms.
  • BS or higher in CS, ML, or related fields.

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.

Conoscenze

Swift / C++ / Objective-C
ML fundamentals
Cross-functional collaboration
Problem solving
Strong communication

Formazione

BS in Computer Science / ML

Strumenti

Core ML
PyTorch
TensorFlow

Descrizione del lavoro

Apple, Inc. in Cupertino, CA, is seeking a Machine Learning Systems Engineer for Siri Runtime Systems and Interaction. You will design and optimize system software that embeds ML capabilities, and you will integrate models into production pipelines with a focus on performance and reliability.

Join a cross-functional team to translate model requirements into scalable, high-quality software. You will contribute to architecture decisions, write clean production code, and help deliver delightful

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