We are seeking a highly skilled Senior NLP Research Scientist to join our team and lead the development and training of large language models for the healthcare space. The ideal candidate will have a strong background in natural language processing, machine learning, and deep learning, with experience in building and training large-scale language models, as well as pre-trained language models used for generative AI.
Responsibilities:
Design and implement state-of-the-art NLP models for healthcare applications
Train large language models on large-scale datasets
Develop and implement model alignment algorithms including instruction tuning and RLHF
Collaborate with cross-functional teams to integrate NLP models into healthcare applications
Stay up-to-date with the latest research in NLP and machine learning
Develop and fine-tune pre-trained language models for generative AI applications in healthcare
Requirements:
PhD in Computer Science, Electrical Engineering, or related field
5+ years of experience in NLP and machine learning
Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch
Experience with large-scale data processing and distributed computing
Strong communication and collaboration skills
Experience in healthcare or life sciences is a plus
Experience with transformer based pre-trained language models including decoder-only architectures such as GPT and decoder-encoder architectures such as BERT
If you are passionate about NLP and want to make a difference in the healthcare industry, we encourage you to apply for this exciting opportunity.
Hippocratic AI is building a safety focused large language model (LLM) for the healthcare industry. We believe that generative AI has the potential to massively increase healthcare access the world over but has to be built and tested responsibly. Like the Hippocratic oath that doctors take we are building a model that aims to “Do no Harm.”