ML Engineer, LLM's
Core
Develop and optimize large language models for clinical documentation, structured clinical reasoning, and downstream medical tasks using proprietary clinical datasets.
Role type
Senior ML Engineer / Researcher (LLMs)
Builds
Production-ready LLMs for clinical note generation, medication extraction, and coding tasks
Domain
Healthcare AI / Clinical NLP
Deliverable
production ML models
Required skills
LLM fine-tuning and post-training, transformer architecture expertise, experimental design, distributed training, Python, PyTorch, LLM evaluation
Preferred skills
LLM-as-judge evaluation, model serving optimization (vLLM, TensorRT-LLM), agentic systems, healthcare AI domain knowledge, HIPAA-compliant deployment (via careerplan.io/jobs/ecf3a3b3-3f9e-44ae-87a2-f9378c17113d-ml-engineer-llms-at-knowtex)
Technologies
AWS, Python, PyTorch, Open-weight LLMs, GPU-based inference
Responsibilities
Design and execute experiments to improve model quality, cost, and latency; build evaluation frameworks for clinical accuracy; deploy models into production at scale; collaborate with clinical and engineering teams
Seniority
Senior, hands-on IC with research ownership
