Machine Learning Engineer (All Ranks)
Abridge in REMOTE
Health care is all about conversations, with over 2B spoken conversations each year between patients and their care teams in just the United States. However, people forget up to 80% of those conversations, leading to worse patient outcomes. And doctors are burning out writing notes in their EMRs instead of focusing on their patients. That’s where Abridge comes in — our audio-based standalone and integrated solutions record and summarize medical conversations, anywhere care happens.
Our technology is powered by machine learning models that transcribe medical conversations, extract structured data, and compose abstractive summaries in the archetypal styles that doctors know and expect. Getting this machine learning research into production requires solving complex engineering problems at the intersection of software, science, and business processes. We are looking to hire an engineer ready to tackle the massive problems that arise when stitching together machine learning components to form seamless experiences. This requires thoughtful tooling to enable ML teams to rapidly hot-swap components and run end-to-end tests, mature processes around staging and deployment of machine learning pipelines, and tools to support the rapid prototyping and evaluation of improvements to our ML systems. We are looking for an ML engineer ready to work with our current ML ops specialist to take on these challenges. This position requires a mix of engineering skill, ML literacy, the ability to rapidly pick up new tools, and mature thinking around building sustainable pipelines and processes.
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 helping each other be successful.
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).