Machine Learning Research Scientist, Rad AI

• We’re seeking to add a world-class experienced Machine Learning Scientist and hands-on NLP subject matter expert to join our amazing ML team
• Masters (PhD preferred) in CS or related field, or equivalent experience
• At least 2 post-educational working years of experience
• Experience developing and testing NLP models in a commercial or academic setting
• Experience applying ML solutions to real world problems
• Experience with deep learning frameworks (e.g. PyTorch) and common NLP frameworks such as HuggingFace
• Experience with LLMs in production systems
• Extensive programming experience, with a focus on Python

Desirable

• You will be building state-of-the-art models to support radiologists and improve clinical outcomes
• Develop Advanced Deep Learning Models: Harness the power of deep learning to create sophisticated models capable of performing a range of reasoning and generative tasks, specifically tailored to the nuances of clinical data
• Innovate in Clinical Problem-Solving: Apply your expertise to solve intricate clinical challenges, contributing directly to real-world healthcare advancements
• Collaborative Solution Development: Engage actively with both technical peers and clinical experts to innovate and refine solutions that have a tangible impact in the field of healthcare
• Architect Interdisciplinary Solutions: Play a pivotal role in designing solutions that bridge multiple disciplines. Determine the optimal integration points for machine learning in these solutions and conduct objective evaluations of competing methodologies
• Research Integration and Experimentation: Stay at the forefront of machine learning advancements by reviewing academic papers, designing experiments, and integrating cutting-edge research into our platform
• Collaboration Opportunities: Collaborate with our esteemed in-house team of leading clinicians