Machine Learning Scientist

Join Abridge, a growing team of MDs, AI scientists, PhDs, creatives, technologists, and engineers dedicated to empowering people and improving healthcare. As a Machine Learning Scientist, you will advance the state of the art in medical NLP, contribute to original research, and help define important problems in the field. Enjoy a remote work environment, flexible hours, unlimited PTO, and the opportunity to make a real impact in the medical domain.

• Advancing the state of the art in medical natural language processing (NLP), particularly in areas such as conversation summarization and evidence extraction.
• Actively contributing to the wider research community by sharing and publishing original research, and helping to define important problems in the field.
• Collaborating with a team of MDs, AI scientists, and engineers to develop and ship state-of-the-art methods into production, while incorporating real-time feedback from clinicians.
• Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production
• Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data
• Strong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience
• Significant real-world impact, as demonstrated through open source contributions and deployed technology
• High-impact publications at peer-reviewed AI conferences (e.g. *CL, NeurIPS, ICML, ICLR)
• We're currently looking to hire research scientists with experience in machine learning and natural language processing
• The ideal candidate will bring technical mastery, fluency with foundation models, genuine interest in the medical domain, and strong critical thinking skills to the role
• Must be willing to work from our SF office at least 3x per week