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Machine Learning Engineering Intern, Personal Agentic Search

Apple
Cambridge, GBR
Full-time
Intern
Onsite
Discovered Today
Machine learningNatural language processingInformation retrievalComputer science fundamentalsData structures and algorithmsSoftware design

Full Job Posting

Role overview

The Personal Agentic Search team uses Apple Intelligence to help users find and act on personal messages, documents, photos, and notes.

The team builds AI agents that understand context, reason over personal data, and retrieve relevant information while preserving user privacy.

As an intern, help build and evaluate machine learning systems for experiences that may reach millions of people.

Internship work

  • Work on projects spanning NLP, large language models, and information retrieval.
  • Collaborate with experienced engineers and researchers to turn research ideas into robust, user-facing experiences.
  • Apply machine learning to challenging user-centered problems.

Minimum qualifications

  • 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, plus proficiency in at least one programming language such as 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 and desire to work in a team environment.

Preferred qualifications

  • Familiarity with LLM architectures such as Transformers and attention mechanisms, and their training and application.
  • Familiarity with indexing, ranking, nearest-neighbor search, and relevance evaluation.
  • Experience with agentic LLM workflows, on-device or privacy-preserving ML, or evaluation experiments, metrics, and datasets.
  • Proficiency in more than one of Python, Swift, and C++.

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