Backed by Y Combinator.
About the role
We are hiring two ML Engineers / Researchers to help build the next generation of Knowtex's AI stack. We are looking for researchers with deep expertise in one of two areas:
What they're looking for
- 2+ years of experience in machine learning research or ML engineering, with deep expertise in speech/audio modeling or large language models
- Strong expertise in Python and PyTorch
- Deep understanding of modern transformer architectures and model training techniques
- Experience training, fine-tuning, or post-training large neural models
- Strong experimental methodology and ability to independently design and execute research projects
- Experience working with large-scale datasets and distributed training environments
More about this role
Knowtex is building the future of voice AI operating systems for clinicians, transforming how healthcare documentation happens at the point of care. We are experiencing rapid growth across both commercial health systems and federal healthcare, with our ambient documentation platform scaling to thousands of clinicians across hundreds of specialties.
We are at an inflection point where advances in speech, language models, and clinical AI can fundamentally change how clinicians interact with technology, giving them more time to focus on what matters most: their patients.
We are hiring two ML Engineers / Researchers to help build the next generation of Knowtex's AI stack.
We are looking for researchers with deep expertise in one of two areas:
Speech & Audio: Build state-of-the-art medical speech-to-text systems using our large proprietary dataset of real-world clinical audio, with the goal of bringing more of our speech stack in-house.
Large Language Models: Develop and optimize models for clinical documentation and structured clinical reasoning, improving quality, cost, latency, and control.
You do not need to be an expert in both areas. We are looking for exceptional depth in either...
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