Machine Learning Engineering Intern, Personal Agentic Search

Team and opportunity

Role responsibilities

• Help build and evaluate the machine learning systems behind personal search experiences.
• Contribute to real projects that turn research ideas into robust, user-facing products.

Minimum qualifications

• Currently pursuing a BS, MS, or PhD in Computer Science, Machine Learning, or a related field.
• Strong 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, or text classification.
• Strong communication and collaboration skills, with a desire to work in a team environment.

Preferred qualifications

• Familiarity with LLM architectures such as Transformers and attention mechanisms, and how they are trained and applied.
• Familiarity with indexing, ranking, nearest-neighbor search, or relevance evaluation.
• Experience with agentic LLM workflows such as planning, tool calling, or multi-step reasoning.
• Experience with on-device machine learning or privacy-preserving ML approaches.
• Experience designing experiments, metrics, and datasets to evaluate model or search quality.
• Proficiency in more than one of Python, Swift, and C++.