Machine Learning Engineering Intern, Personal Agentic Search
Role Overview
The Personal Agentic Search team uses Apple Intelligence to help people find and act on their personal messages, documents, photos, and notes.
The team builds AI-powered agents that understand personal context, reason over personal data, and retrieve relevant information while protecting user privacy.
As an intern, help build and evaluate machine-learning systems for user-facing experiences.
Key Skills for This Role
Full Job Posting
Team and role
The Personal Agentic Search team uses Apple Intelligence to help people find and act on their personal messages, documents, photos, and notes.
The team builds AI-powered agents that understand personal context, reason over personal data, and retrieve relevant information while protecting user privacy.
As an intern, help build and evaluate machine-learning systems for user-facing experiences.
Description
- Work at the intersection of NLP, large language models, and information retrieval.
- Contribute to real projects alongside experienced engineers and researchers, turning 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, including 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 such as Transformers and attention mechanisms and how they are trained and applied.
- Familiarity with search and retrieval algorithms, including indexing, ranking, nearest-neighbor search, and relevance evaluation.
- Experience with agentic LLM workflows, on-device machine learning, or privacy-preserving ML.
- Experience designing experiments, metrics, and datasets to evaluate model or search quality.
- Proficiency in more than one of Python, Swift, and C++.
About Apple
Apple describes an inclusive workplace and commitment to fair consideration and accessibility accommodations.
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