Member of Technical Staff, Machine Learning at Abridge in SF Office

Job description

About Abridge Founded in 2018, Abridge is the first AI-native clinician intelligence platform organized around the patient, built for clinicians, and designed to help health systems coordinate the clinical, financial, and evidence-based decisions for every moment of care. Powered by purpose-built AI for healthcare, Abridge connects patients, providers, payers, and life sciences companies. This year, the platform will support more than 100 million patient-clinician conversations across more than 300 of the largest and most complex health systems in the U.S. With deep workflow integration, the Abridge clinician intelligence platform has been validated to support encounters in 28+ languages across specialties and care settings. Abridge is setting the industry standard for the responsible deployment of Al across health systems with continual and transparent Al evaluation. Clinical decision support references and cites gold-standard sources of evidence, and features like Linked Evidence map AI-generated documentation to source data, helping clinicians quickly trust and verify the output. Abridge was awarded Best in KLAS for Ambient AI in 2025 and 2026, in addition to other accolades, including TIME Best Inventions of 2024 and 2025, CNBC Disruptor 2025, and Fast Company’s Most Innovative Companies 2025. We are a growing team of practicing clinicians, AI scientists, PhDs, creatives, technologists, and engineers working together to transform healthcare. We have offices located in San Francisco, New York, and Pittsburgh. The Role From transcribing medical conversations to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible. 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. At Abridge, all of our ML work has a strong research component, and all of our research scientists contribute directly to real products that impact the lives of doctors. What You'll Do Advance the state of the art in medical NLP, in areas including conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation. Actively contribute to the wider research community by sharing and publishing original research Help to define important problems, identify appropriate baselines, develop state-of-the-art methods, and ship them into production. Dial deeply into real-time feedback from clinicians to guide further refinements and innovations Be results-oriented in the face of ambiguous problems and uncertain outcomes What You'll Bring Strong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience. High-impact publications at peer-reviewed AI conferences (e.g. ACL, COLM, EACL, NAACL, NeurIPS, ICML, ICLR, Interspeech, ICASSP, SLT, MLHC, ML4H). Significant real-world impact, as demonstrated through open source contributions and deployed technology. 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. We value people who are eager to learn new things and recognize that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you. Must be willing to work from our SF office at least 3x per week This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is a