AI/ML Engineer (Competitive) at Well‑funded AI Healthtech Startup
Join Jack and Jill to build and fine‑tune large language models (LLMs) and implement retrieval‑augmented generation (RAG) pipelines for medical text understanding. The role focuses on training and evaluating models on real clinical data, optimizing for speed and accuracy, and collaborating with experts to deliver production features in healthcare AI.
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.
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).
The ideal candidate
- 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).
How to Apply
Speak to Jack, our AI recruiter. Steps:
- Visit our website.
- Click “Speak with Jack”.
- Log in with your LinkedIn profile.
- Chat with Jack for 20 minutes to discuss your experience and ambitions.
- If the hiring manager is interested, Jack will arrange an introduction.
Location: Remote.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Engineer (Competitive) at Well-funded AI healthtech startup in City of London
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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