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.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
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.