About the role
Knowtex is developing advanced voice AI systems tailored for healthcare professionals, aiming to revolutionize clinical documentation. The company is expanding its engineering team in San Francisco, focusing on building and deploying large language models that enhance medical note-taking and clinical reasoning. The role involves working with proprietary datasets and collaborating across clinical and technical teams to improve AI-driven healthcare tools.
The position requires designing experiments, fine-tuning models, and deploying solutions that generate accurate clinical documentation and support downstream tasks like coding and medication extraction. Candidates should have extensive experience with large language models, Python, and PyTorch, and be capable of translating research into scalable production systems. The work is hybrid, combining remote and onsite collaboration.
Candidates will work on evaluating models, reducing inference costs, and building evaluation frameworks to ensure clinical accuracy and reliability. The role offers a pathway from research to real-world deployment, emphasizing quick iteration and close teamwork with clinicians and engineers. The environment includes AWS, distributed training, and real-time clinical AI pipelines, with a focus on improving healthcare outcomes through AI.