AI Scientist

Role: Senior Staff AI Scientist focused on developing advanced generative AI models, particularly large language models (LLMs), to automate clinical tasks using healthcare data such as electronic medical records, waveforms, and reports. Responsibilities include designing and implementing novel machine learning algorithms, demonstrating model accuracy, exploring human feedback integration, and building scalable prototypes for healthcare applications. The position involves handling large-scale datasets, staying current with state-of-the-art AI research, and contributing to product-ready solutions. Requirements: Master’s or Ph.D. in STEM fields with 3+ years of relevant research, expertise in large-scale AI, publications on LLMs or self-supervised learning, proficiency in Python and C++, and experience with high-dimensional imaging or waveform data. Preferred skills include experience with frameworks like DeepSpeed, HuggingFace, Megatron, and MLOps tools, as well as deep understanding of semi-supervised, transfer learning, and generative models. High-Value: Focus on AI in healthcare, large language models, generative AI, clinical data, and scalable AI development. Work setup: based in Bellevue, WA, with travel requirements; part of GE Healthcare's global team emphasizing work-life balance and professional growth.