Hiring: Machine Learning Scientist (All Levels) Company: Abridge Location: San Francisco, CA Job Posted Time: 2026-09-16 14:58:38 Employment Type: Full-time Target Skills & Keywords: Machine Learning, Natural Language Processing, Foundation Models, Deep Learning, PyTorch, Jax, TensorFlow, Multi-GPU Training, Medical NLP, Research, Publications, Open Source Experience: - 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. - Proven experience crafting, prototyping, and delivering machine learning solutions into production. Required Skills: - 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. - 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. Qualifications: - High-impact publications at peer-reviewed AI conferences (e.g. ACL, COLM, EACL, NAACL, NeurIPS, ICML, ICLR, Interspeech, ICASSP, SLT, MLHC, ML4H). - Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience. - Eager to learn new things and recognize that great team members might not perfectly match a job description. Compensation: Base pay range: $205,000.00/yr - $300,000.00/yr Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!