Machine Learning Engineering Intern, Personal Agentic Search
Role Overview
Machine Learning Engineering internship on Apple's Personal Agentic Search team.
Help build and evaluate machine learning systems behind experiences that retrieve and act on users' personal information while preserving privacy.
Work with experienced engineers and researchers on projects involving NLP, large language models, and information retrieval.
Key Skills for This Role
Full Job Posting
Role overview
Machine Learning Engineering internship on Apple's Personal Agentic Search team.
Help build and evaluate machine learning systems behind experiences that retrieve and act on users' personal information while preserving privacy.
Work with experienced engineers and researchers on projects involving NLP, large language models, and information retrieval.
Responsibilities
- Build and evaluate machine learning systems for personal agentic search experiences.
- Help translate research ideas into robust, user-facing experiences.
- Work on language processing, large language models, and information retrieval projects.
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 of Python, Swift, C++, or Java.
- 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 in a team.
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 or privacy-preserving ML, or evaluation experiments and metrics.
- Proficiency in more than one of Python, Swift, and C++.
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