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 information while preserving privacy.
The intern will help build and evaluate machine learning systems for experiences used by Apple customers.
Key Skills for This Role
Full Job Posting
Role overview
The Personal Agentic Search team builds AI-powered agents that understand user context, reason over personal data and retrieve information while preserving privacy.
The intern will help build and evaluate machine learning systems for experiences used by Apple customers.
Description
- Work on real projects at the intersection of 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 in data structures, algorithms and software design; proficiency in at least one of 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 working on a team.
Preferred qualifications
- Familiarity with LLM architectures, Transformers, 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, 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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