Requirements

• Currently pursuing a BS, MS, or PhD in Computer Science, Machine Learning, or a related field.
• Strong foundation in computer science fundamentals (data structures, algorithms, software design).
• Proficiency in at least one programming language such as Python, Swift, C++, or Java.
• Solid foundation in machine learning and working knowledge of NLP fundamentals (tokenization, embeddings, language modeling, text classification).
• Strong communication and collaboration skills, with a desire to work in a team environment.

Nice to Haves

• Familiarity with large language model architectures like Transformers and attention mechanisms, including their training and applications.
• Knowledge of search and retrieval algorithms such as indexing, ranking, nearest-neighbor search, and relevance evaluation.
• Experience with agentic LLM workflows including planning, tool calling, and 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++.

What You'll Be Doing

• Building and evaluating machine learning systems behind AI-powered agents that understand user context and personal data.
• Working on real projects alongside experienced engineers and researchers.
• Turning research ideas into robust, user-facing experiences focused on NLP, large language models, and information retrieval.
• Contributing to features that help users find and act on their information in natural and intuitive ways, while preserving privacy.