Apple

Machine Learning Engineer, Data for Foundation Models

Apple
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11 hours ago
Cupertino, CA, USA or Seattle, WA, USAMid Level
H1B sponsor

Responsibilities

  • Build high-quality large-scale and targeted image or video datasets for foundation model training.
  • Design data annotation, enrichment, curation, and synthetic data generation pipelines.
  • Improve diffusion and autoregressive foundation models through data ablation experiments and training-data improvements.
  • Apply current AI research and develop proprietary or experimental methods to improve model quality for Apple product experiences.
  • Work in an applied research environment and contribute to complex shipped projects or research output.

Requirements

  • M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, or Applied Mathematics, or equivalent experience.
  • At least 3 years of experience improving modern image generation or image understanding models through data ablation experiments.
  • Knowledge of machine learning frameworks such as PyTorch or JAX.
  • Experience with large-scale data frameworks such as Hadoop or Ray.
  • Experience working in an academic or industrial research environment.
  • Strong communication skills and the ability to drive clarity in ambiguous circumstances.
  • Preferred: hands-on experience improving diffusion image generation models through training data improvements.
  • Preferred: strong industrial research output, shipped complex projects, or publications at top-tier venues.

Tech Stack

Apache HadoopPyTorch

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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