Machine Learning Engineering Intern, Personal Agentic Search

Role overview

Responsibilities

• Work on projects involving NLP, large language models, and information retrieval.
• Help turn research ideas into robust, user-facing experiences alongside experienced engineers and researchers.
• Build and evaluate machine-learning systems for personal agentic search.

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.
• Solid machine-learning foundation and working knowledge of NLP fundamentals, including tokenization, embeddings, language modeling, and text classification.
• Strong communication and collaboration skills and desire to work in a team.

Preferred qualifications

• Familiarity with LLM architectures such as Transformers and attention mechanisms.
• Familiarity with search and retrieval methods including indexing, ranking, nearest-neighbor search, and relevance evaluation.
• Experience with agentic LLM workflows, on-device ML or privacy-preserving ML, and designing experiments, metrics, and datasets for model or search evaluation.
• Proficiency in more than one of Python, Swift, and C++.