Machine Learning Engineering Intern, Personal Agentic Search
Role Overview
Join Apple's Personal Agentic Search team, which builds AI-powered agents to help users find and act on personal information.
Work on machine learning systems for user-facing features, with an emphasis on privacy.
This internship sits at the intersection of NLP, large language models, and information retrieval.
Key Skills for This Role
Full Job Posting
Internship overview
Join Apple's Personal Agentic Search team, which builds AI-powered agents to help users find and act on personal information.
Work on machine learning systems for user-facing features, with an emphasis on privacy.
This internship sits at the intersection of NLP, large language models, and information retrieval.
What you'll do
- Help build and evaluate machine learning systems for Personal Agentic Search.
- Work on real projects with experienced engineers and researchers.
- Help turn research ideas into robust user-facing experiences.
- Contribute to agents that understand context, reason over personal data, and retrieve relevant information while preserving privacy.
Minimum qualifications
- Currently pursuing a BS, MS, or PhD in Computer Science, Machine Learning, or a related field.
- Strong computer science foundation 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 interest in team-based work.
Preferred qualifications
- Familiarity with LLM architectures such as Transformers and attention mechanisms, and how models are trained and applied.
- Familiarity with search and retrieval algorithms, including indexing, ranking, nearest-neighbor search, and relevance evaluation.
- Experience with agentic LLM workflows such as planning, tool calling, and multi-step reasoning.
- Experience with 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 accessibility and inclusion as important parts of its workplace and products.
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