Apple

Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

Apple
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12 hours ago
Cupertino, CA, USAEntry Level
H1B sponsor

Responsibilities

  • Design, build, and optimize system software that integrates machine learning capabilities for Siri experiences.
  • Develop and optimize algorithms that run efficiently on resource-constrained platforms.
  • Apply machine learning concepts, model inference, and ML system design principles.
  • Build production-quality software and contribute to ML infrastructure, evaluation pipelines, or training systems.
  • Collaborate with cross-functional engineering and ML teams to solve problems for Apple products.

Requirements

  • Strong programming skills in Swift, C++, and Objective-C.
  • Solid understanding of machine learning concepts, model inference, and ML system design principles.
  • Experience developing and optimizing algorithms for resource-constrained platforms.
  • Ability to work collaboratively across engineering and ML teams and communicate clearly.
  • BS or higher in Computer Science, Machine Learning, or a related discipline.
  • Preferred: experience building production-quality software, ML infrastructure, evaluation pipelines, or training systems.
  • Preferred: familiarity with Core ML, PyTorch, TensorFlow, and model optimization techniques.

Tech Stack

C++Objective-CPyTorchSwiftTensorFlow

Categories

Apple

About Apple

10,000+ employees

Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.

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