Research Intern

Highlights

• Own a retrieval research project leading to a paper, blog post, or open release.
• Explore multimodal search challenges across text, images, and beyond.
• Investigate how LLMs can enhance and reshape retrieval pipelines.

What they offer

• Competitive internship compensation
• Close mentorship from a world-class team
• Comprehensive health, dental, and vision coverage
• Visa sponsorship + relocation support
• Professional development budget
• Access to the best AI tools and subscriptions
• Team off-sites + conference attendance
• Transportation support
• Wellness support, including gym membership and sports club subscriptions
• Food support

Ideal candidate

Enrolled student passionate about advancing information retrieval and multimodal search. Collaborative, feedback-driven learner excited to push retrieval beyond single-vector methods.

Requirements

• Currently enrolled in an undergraduate or graduate program
• Prior exposure to retrieval, embeddings, or adjacent domains
• Proficiency in Python and ability to implement models from scratch
• Strong interest in Information Retrieval and its role in advancing AI
• Belief that single-vector similarity search is outdated, with enthusiasm for late interaction and beyond
• Collaborative mindset and willingness to learn from feedback