Senior ML Research Scientist
Rad AI- Full Time
- Senior (5 to 8 years)
Candidates should possess a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience. A strong research background is essential, demonstrated through high-impact publications at peer-reviewed AI conferences such as CL, NeurIPS, ICML, and ICLR. Proven experience in crafting, prototyping, and delivering machine learning solutions into production is required, along with strong programming skills and familiarity with deep learning libraries like PyTorch, Jax, and TensorFlow.
The Machine Learning Scientist will advance the state of the art in medical natural language processing, focusing on areas such as conversation summarization, evidence extraction, and outcome prediction. They will actively contribute to the research community by sharing and publishing original research, define important problems, identify appropriate baselines, and develop state-of-the-art methods for production. Additionally, they will engage with real-time feedback from clinicians to guide refinements and innovations while maintaining a results-oriented approach in the face of ambiguous problems.
AI platform for clinical documentation automation
Abridge provides a platform that changes how medical conversations are documented in healthcare settings. Its main product allows healthcare providers to record patient visits, which are then transformed into organized clinical documents. This helps doctors and other healthcare professionals save time on paperwork, allowing them to concentrate more on caring for their patients. Abridge stands out from its competitors by focusing specifically on the needs of healthcare providers, payers, and pharmaceutical companies, offering a solution that improves both documentation efficiency and patient outcomes. The goal of Abridge is to enhance the quality of patient care while making the documentation process easier for healthcare professionals.