Machine Learning Engineering Intern, Personal Agentic Search
Role Overview
The Personal Agentic Search team builds AI-powered agents that understand user context, reason over personal data, and retrieve relevant information while preserving privacy.
The internship supports machine learning systems behind personal search features used across Apple devices.
Key Skills for This Role
Full Job Posting
Summary
The Personal Agentic Search team builds AI-powered agents that understand user context, reason over personal data, and retrieve relevant information while preserving privacy.
The internship supports machine learning systems behind personal search features used across Apple devices.
Description
- Help build and evaluate machine learning systems for personal agentic search.
- Work on real projects involving NLP, large language models, and information retrieval.
- Collaborate with 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, including data structures, algorithms, and software design.
- Proficiency in at least one programming language, such as Python, Swift, C++, or Java.
- Foundation in machine learning and working knowledge of NLP fundamentals, including tokenization, embeddings, language modeling, and text classification.
- Strong communication and collaboration skills, with interest in team-based work.
Preferred qualifications
- Familiarity with LLM architectures such as Transformers and attention mechanisms.
- Familiarity with search and retrieval, including indexing, ranking, nearest-neighbor search, and relevance evaluation.
- Experience with agentic LLM workflows, on-device ML, 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 accessibility and inclusion as important values and says it will consider reasonable accommodations for applicants.
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