We are building generative AI systems that facilitate clinical workflows by interviewing patients, writing notes for their clinicians, and performing chronic disease management. We aim to allow clinical teams to offload clerical tasks so that they can care for patients at the top of their license.
We've just raised a pre-seed round ($2M) and are looking to hire an MLE generalist. The team right now consists of 2 engineers and 2 medical SME.
We're looking for someone with:
* Proficiency in deep learning frameworks (e.g., PyTorch) and language model libraries (e.g., Hugging Face Transformers)
* Research or industry experience with transformer-based language models
* Expert level of knowledge of Python
* Also interested in doing full stack development, we are small, so we need someone who can wear many hats!
Bonus points for:
* Experience in fine-tuning multi-billion parameter models
* Experience in large model deployment and efficient inference optimization
* Experience with Typescript/React
* Experience in the healthcare domain