Apple

Machine Learning Engineer, Computer Vision

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

Responsibilities

  • Design, train, and improve computer vision and vision-language models for object understanding and recognition.
  • Improve model robustness across real-world conditions and devices and address failure modes using real data.
  • Define evaluations that reflect product quality and use evaluation results to guide model decisions.
  • Design models for on-device memory, latency, and power constraints.
  • Translate recent research into models deployed on millions of devices.

Requirements

  • Ph.D. or Master's degree in Computer Science, Machine Learning, Computer Vision, or a related field, or equivalent industry experience.
  • Strong foundations in computer vision and deep learning.
  • End-to-end project experience covering data, training, and evaluation on real-world visual data.
  • Proficiency in Python and PyTorch or an equivalent deep learning framework.
  • Proficiency in using generative coding tools.
  • Experience with rigorous experimentation, including clear baselines, ablations, and meaningful evaluation sets.
  • Preferred experience includes publications in major computer vision or machine learning venues, representation learning, industry or product machine learning, knowledge distillation, model compression, and vision-language models.

Tech Stack

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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