Startups · AI

ML Engineer, LLM's

Knowtex · San Francisco · Remote

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About Knowtex

Knowtex automates clinical workflows with AI-powered voice technology, reducing documentation time and improving healthcare efficiency. Enhance patient care with seamless, automated solutions designed for modern medical professionals. Backed by Y Combinator.

About the role

Develop and optimize models that generate high-quality clinical documentation, including SOAP notes and specialty-specific note formats Build models for downstream clinical tasks such as medication extraction, orders, ICD-10 coding, E&M coding, patient visit summaries, and other structured clinical artifacts Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 4+ years of experience in machine learning research or ML engineering, with deep expertise in large language models
  • Hands-on experience fine-tuning or post-training open-weight LLMs (e.g., SFT, distillation, preference optimization, RL)
  • Strong Python and PyTorch skills
  • Deep understanding of modern transformer architectures and LLM training techniques
  • Strong experimental methodology and the ability to independently design and execute research projects
  • Experience working with large-scale datasets and distributed training environments
More about this role

Job title: ML Engineer / Researcher, Large Language Models

WORK AUTHORIZATION

Must be authorized to work in the U.S.; we are unable to sponsor visas for this role.

About Knowtex

Knowtex is building the future of voice AI operating systems for clinicians, transforming how healthcare documentation happens at the point of care. We are growing fast across both commercial health systems and federal healthcare, and our ambient documentation platform is scaling to thousands of clinicians across hundreds of specialties.

We are at an inflection point where advances in language models and clinical AI can fundamentally change how clinicians interact with technology. That gives them more time to focus on what matters most: their patients.

Position Overview

We are hiring an ML Engineer / Researcher focused on Large Language Models to help build the next generation of Knowtex's AI stack.

You will develop and optimize the models behind our clinical documentation and structured clinical reasoning, improving quality, cost, latency, and control. Your work will draw on Knowtex's large proprietary clinical dataset, built from real-world encounters across hundreds of specialties.

This is a...

Read the full posting on Knowtex's site ↗

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