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Machine Learning Engineering Intern, Personal Agentic Search

Apple
Cambridge, GBR
Full-time
Intern
Onsite
Discovered Today
Machine learningNatural language processing (NLP)ProgrammingPythonSwiftC++

Full Job Posting

Role overview

Join Apple’s Personal Agentic Search team to help build AI-powered agents that understand context, reason over personal data, and retrieve relevant information while protecting user privacy.

The internship focuses on machine learning systems for personal search and user-facing experiences.

Work

  • Help build and evaluate machine learning systems for personal agentic search.
  • Work on NLP, large language models, and information retrieval projects.
  • Collaborate with experienced engineers and researchers to turn research ideas into robust user-facing experiences.

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.
  • 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 a desire to work in a team environment.

Preferred qualifications

  • Familiarity with LLM architectures, including Transformers and attention mechanisms, and how they are trained and applied.
  • Familiarity with search and retrieval methods such as indexing, ranking, nearest-neighbor search, and relevance evaluation.
  • Experience with agentic LLM workflows, on-device machine learning or privacy-preserving ML, and evaluation experiments, metrics, or datasets.
  • Proficiency in more than one of Python, Swift, and C++.

About Apple

Apple describes its products as serving people’s everyday needs and emphasizes inclusion and accessibility.

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