NLP Research Intern

Machine Learning /
When you think about your last doctor’s appointment, how much do you actually recall? If you’re like most people, you’ll likely forget over 40% of the conversation. Details fall through the cracks, generic printouts you receive end up in the trash, and important information never makes it to other doctors. Ultimately, you’re left needing to connect the dots in your care. That’s why we started Abridge with a simple thesis: if we can shift agency to consumers, we can help them stay on top of their health. When you use Abridge to record your health conversations, the conversations themselves become your medical record. It’s as easy as that.

We are looking for research interns to working on exciting NLP challenges using our large annotated proprietary healthcare datasets. You will be able to create/customize your internship research statement and collaborate with our in-house Machine Learning research team. At the end of the internship, you will also have the opportunity to publish your work at top tier conferences such as NeurIPS, ICML, ICLR, NAACL, and ACL. 

The goal of the internship is to advance the state-of-the-art in one or many of the following research areas:
- Dialog Understanding 
- Sequence-to-Sequence Modeling
- Clinical Natural Language Processing
- Information Extraction
- Machine Learning using Ontologies or Knowledge graphs

Required Qualification:
- Must be accepted to or currently enrolled in an MS or Ph.D. program in Computer Science or a related field
- Must have at least one NLP machine learning paper submitted or published
- Experience in utilizing theoretical and empirical research to solve problems
- Ability to communicate complex research ideas in a clear, precise, and actionable manner

*Research internships are offered year-round with flexible durations


    • $80,000-$100,000 per year
Life at Abridge

At Abridge, we’re driven by our mission to bring understanding and follow-through to every medical conversation. Our culture is founded on doing things the “inverse” way in a legacy system—focusing on patients, instead of the system; focusing on outcomes, instead of billing; and focusing on the end-user experience, instead of a hospital administrator's mandate.
Abridgers are engineers, scientists, designers, and health policy experts from a diverse set of backgrounds—an experiment in alchemy that helps us transform an industry dominated by EHRs and enterprise into a consumer-driven experience, one recording at a time. We believe in strong ideas, loosely held, and place a high premium on a growth mindset. We push each other to grow and expose each other to the latest in our respective fields. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and believe that "you need to taste good things to have good taste."
Abridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).