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Machine Learning Engineering Intern, Personal Agentic Search

Apple
Cambridge, GBR
Full-time
Intern
Onsite
Discovered Today
Machine learningNatural language processingComputer science fundamentalsProgrammingPythonSwift

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Role overview

The Personal Agentic Search team builds AI-powered agents that understand user context, reason over personal data, and retrieve relevant information while respecting privacy.

The intern will help build and evaluate machine learning systems for experiences that may reach millions of users.

Description

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

Minimum qualifications

  • Currently pursuing a BS, MS, or PhD in computer science, machine learning, or a related field.
  • Strong computer science fundamentals, including data structures, algorithms, and software design, and 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, with a desire to work in a team environment.

Preferred qualifications

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

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