ML Scientist (Research) at Knowtex

This role is ideal for a senior-level Machine Learning researcher or engineer with a strong background in NLP and speech recognition. You should have at least 5 years of experience, a Master’s or PhD, and a deep understanding of transformer architectures and LLMs. Since this is a hybrid role in San Francisco, it’s a great fit for someone who enjoys the collaborative environment of a high-growth startup at the intersection of AI and healthcare. You will be reporting directly to the CTO, developing voice AI systems that handle 200+ medical specialties. The compensation package includes meaningful equity, which is a significant highlight given the company's "explosive growth" in both commercial and federal sectors. The work is technically demanding, requiring you to optimize models for sub-200ms latency while ensuring high clinical accuracy and HIPAA compliance. **You might be a good fit if you...** * Have extensive experience with PyTorch/TensorFlow and deploying production-grade ML pipelines on AWS. * Are passionate about "agentic AI" and its application in medical decision support and documentation. * Excel at bridging the gap between academic research and real-world, low-latency production environments. * Have prior experience or a strong interest in medical terminology and clinical workflows.