Knowtex
ML Engineer, LLM's
San Francisco · Hybrid · Full-time · Posted Oct 6, 2026
- Experience
- 4+ years in machine learning research or ML engineering.
- Education
- Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent research experience.
- Visa sponsorship
- Must be authorized to work in the U.S.; unable to sponsor visas for this role.
About the job
Develop, evaluate, and deploy large language models for clinical documentation and structured clinical reasoning, balancing clinical quality, cost, latency, and reliability.
What you'll do
- Build and optimize models for clinical notes and structured tasks such as medication extraction, coding, and visit summaries.
- Fine-tune and post-train models, and create datasets and evaluation frameworks to measure clinical performance.
- Move successful research into production and optimize model serving at scale in collaboration with clinical and engineering teams.
What they ask 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.
- Strong Python and PyTorch skills; deep understanding of transformer architectures and LLM training techniques.
- Experience with large-scale datasets, distributed training, LLM evaluation, and translating research into production systems.
Nice to have
- Experience serving and optimizing open-weight models at scale, or building LLM evaluation systems.
- Experience in healthcare AI or clinical NLP, structured generation, tool use, or agentic systems.
Tools
Python, PyTorch, AWS, vLLM, TensorRT-LLM, ICD-10, CPT, SNOMED
AI focus
Research, fine-tune, evaluate, and productionize LLMs for clinical documentation, structured clinical reasoning, and related clinical tasks.
Model-written summary · the original posting is authoritative