Apple

Machine Learning Engineer

Apple
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10 hours ago
Cupertino, CA, USAMid Level
H1B sponsor

Responsibilities

  • Train, evaluate, and debug deep learning models for complex tasks.
  • Guide sensing features from early prototypes to shipped products while communicating with peers to define requirements and track progress.
  • Develop predictive models using time-series and multimodal sensor data.
  • Handle data collection, model training and optimization, metric definition, and failure analysis.
  • Design and build scalable modeling pipelines for data processing, training, and evaluation.

Requirements

  • M.S. or Ph.D. in Machine Learning, Computer Science, or a related field.
  • Strong Python skills and experience with PyTorch or TensorFlow.
  • Hands-on experience developing predictive models using time-series and multimodal sensor data.
  • Proficiency in data collection, model training and optimization, defining metrics, and performing failure analysis.
  • Strong communication and collaboration skills.
  • Experience with scalable modeling pipelines and signal processing for machine learning applications is preferred.
  • Additional background in Human-Computer Interaction is a plus.

Tech Stack

PythonPyTorchTensorFlow

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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