About the Company/Team

Language shouldn’t determine the quality of your care, but for 30 million patients in the U.S., it still does. Lexi is an early stage Harvard–backed startup building AI-native, real-time medical interpretation so clinicians and patients can communicate clearly across languages. Every day, clinicians lose precious time and patients face preventable risks because they can’t speak the same language, while traditional interpretation services remain slow, costly, and inconsistent in quality. We’re building the real-time multilingual communication layer for healthcare to deliver voice interpretation using advanced speech processing and multilingual AI. We’re proud to have won the Grand Prize at the HBS New Venture Competition and the iF Design Gold Award (alongside Apple and IBM), and the HLTH Health Equity Pitch. We’re backed by leading investors who believe that language equity is one of the most overlooked yet urgent problems in healthcare, and one that, once solved, will have a profound impact on everyday life. Most importantly, Lexi is live in real-world settings, with users actively using the platform every day!

About the Role

Lexi is looking for a software engineer intern to work at the intersection of applied AI, real-time systems, and healthcare. You’ll help build and improve our end-to-end ML pipelines for live speech transcription, translation, and audio streaming, while also shaping the product experience that clinicians and patients interact with in real clinical settings. This role is hands-on and end-to-end: from experimenting with models and latency-sensitive infrastructure, to shipping features that directly affect usability, reliability, and trust at the point of care. You’ll work closely with the founding team, see your code deployed quickly, and watch it make a tangible impact on providers and patients every day.