Apple

Machine Learning Engineering Intern, Personal Agentic Search

Apple
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1 day ago
Cambridge, United KingdomIntern

Responsibilities

  • Build and evaluate machine learning systems for Personal Agentic Search.
  • Apply NLP, large language models, and information retrieval techniques to user-centered search problems.
  • Help turn research ideas into robust, user-facing experiences.
  • Work on agentic workflows involving planning, tool calling, and multi-step reasoning.
  • Design experiments, metrics, and datasets to evaluate model and search quality.
  • Collaborate with experienced engineers and researchers.

Requirements

  • Currently pursuing a BS, MS, or PhD in Computer Science, Machine Learning, or a related field.
  • Strong computer science fundamentals in data structures, algorithms, and software design.
  • Proficiency in at least one of Python, Swift, C++, or Java.
  • Solid machine learning foundation and working knowledge of NLP fundamentals, including tokenization, embeddings, language modeling, and text classification.
  • Strong communication and collaboration skills.
  • Preferred qualifications include familiarity with Transformers, attention mechanisms, search and retrieval algorithms, agentic LLM workflows, on-device machine learning, privacy-preserving ML, and evaluation methodology.
  • Proficiency in more than one of Python, Swift, and C++ is preferred.

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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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