Apple

Machine Learning Audio R & D Engineer

Apple
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1 day ago
Cupertino, CA, USAMid Level
H1B sponsor

Responsibilities

  • Develop machine learning model architectures for speech and audio applications, including sound event detection, scene classification, and context understanding.
  • Train, fine-tune, optimize, and compress machine learning models for production and resource-constrained platforms.
  • Build machine learning pipelines, datasets, and evaluation frameworks.
  • Collaborate with cross-functional teams to develop features and ship audio products.
  • Create intellectual property through patents and publications.

Requirements

  • 4+ years of experience in machine learning development, including audio and speech applications.
  • Practical and theoretical knowledge of machine learning architecture design and training/testing methodologies.
  • Experience building machine learning pipelines and optimizing or compressing models for resource-constrained platforms.
  • Excellent software architecture and programming skills in Python, C, and C++.
  • Knowledge of audio technologies and fundamentals of audio and speech signal processing.
  • MS in computer science or electrical engineering, with industry and research experience.
  • Preferred qualifications include familiarity with multimodal large language models and demonstrated innovation through patents or publications.
  • A PhD in computer science or electrical engineering is preferred.

Tech Stack

CC++iOSmacOSPython

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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