Apple

Senior Machine Learning Engineer, Natural Language Generation

Apple
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11 hours ago

Responsibilities

  • Own the model quality of shipping and unreleased Apple Intelligence features.
  • Prioritize and drive modeling efforts across multiple fronts.
  • Analyze user feedback to identify shortcomings in models and evaluation data.
  • Define evaluation mechanisms for data curation, metric calibration, and model improvement.
  • Research SFT, PEFT, RLHF, and distillation techniques to improve model quality and robustness.
  • Implement pipelines, experiments, and simulations to assess modeling changes.
  • Collaborate with teams working on human interfaces, user studies, internationalization, ML technologies, and system integration.

Requirements

  • MS or PhD in Computer Science or a related field, or equivalent practical experience.
  • History of shipping AI features built on language models.
  • Experience building and maintaining end-to-end model pipelines, including data curation, data synthesis, LLM judges, and post-training.
  • Strong Python programming skills and experience developing production-quality Python modules.
  • Excellent written and verbal communication skills.
  • Preferred: experience driving cross-functional collaboration and leading technical efforts.
  • Preferred: expertise deploying models on-device and reasoning about latency, activation size, quantization, and distillation.
  • Preferred: background in linguistics, fluency in multiple languages, or experience scaling NLP features for global audiences.

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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