Machine Learning Engineering Intern, Personal Agentic Search
Role Overview
The Personal Agentic Search team builds AI-powered agents to understand user context, reason over personal data, and retrieve relevant information while preserving privacy.
This internship focuses on machine learning systems for natural, intuitive search and action experiences.
Key Skills for This Role
Full Job Posting
Role overview
The Personal Agentic Search team builds AI-powered agents to understand user context, reason over personal data, and retrieve relevant information while preserving privacy.
This internship focuses on machine learning systems for natural, intuitive search and action experiences.
Role responsibilities
- Help build and evaluate machine learning systems for Personal Agentic Search.
- Work on projects at the intersection of NLP, large language models, and information retrieval.
- Collaborate with experienced 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 such as 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, search and retrieval algorithms, agentic LLM workflows, or on-device and 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 its products as supporting people's daily lives and emphasizes inclusive and accessible workplaces.
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