This role involves building and fine-tuning large language models (LLMs) and implementing retrieval-augmented generation (RAG) pipelines for medical text understanding. You will train and evaluate models on real clinical data, optimizing for speed and accuracy, collaborating with experts to deliver impactful production features in healthcare AI.
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AI/ML Engineer (Competitive) at Well-funded AI healthtech startup
AI/ML Engineer (Competitive) at Well-funded AI healthtech startup - AI/ML Engineer
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Location
Remote
Compensation
Competitive
Company
Confidential company
Role overview
About the company
Well-funded AI healthtech startup
What you will do
- Build and fine-tune large language models (LLMs) for medical text understanding.
- Implement retrieval-augmented generation (RAG) pipelines with vector databases.
- Optimize inference for speed and accuracy (quantization, distillation, GPU tuning).
Who this is a fit for
- Strong experience in NLP/LLMs (PyTorch, Hugging Face, or equivalent).
- Background in retrieval systems, vector databases, and RAG pipelines.
- Understanding of healthcare coding standards (CPT, ICD-10, HCPCS).
Why this role is remarkable
- Opportunity to work on cutting-edge LLM and RAG technology in a critical domain.
- Backed by top-tier VCs, focused on significant impact in healthcare AI.
- High growth potential within a pioneering AI healthtech startup.
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If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.
