Senior Machine Learning Research Scientist, Rad AI

• MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent practical experience
• 2+ years of post-degree experience building NLP models in industry or academia
• Strong experience with transformer architectures and LLMs (e.g., fine-tuning, prompt engineering)
• Proficiency with Python and deep learning frameworks like PyTorch
• Familiarity with HuggingFace or similar NLP libraries
• Experience deploying models in production settings

Desirable

• As a Research Scientist on our Machine Learning team, you’ll work at the intersection of natural language processing and clinical medicine, designing and deploying state-of-the-art models that solve real-world healthcare challenges. This is a high-impact role where your work will directly influence real-world clinical workflows
• Build Advanced Deep Learning Models: Design, train, and deploy sophisticated NLP models for clinical reasoning, generation, and decision support
• Solve Real Clinical Problems: Tackle complex challenges unique to healthcare, with a focus on radiology workflows and patient follow-up
• Collaborate Cross-Functionally: Work closely with engineers, product teams, and in-house clinicians to design, evaluate, and iterate on ML-powered solutions
• Drive Applied Research: Read and synthesize cutting-edge NLP literature, design experiments, and prototype ideas that can be translated into production
• Architect Practical ML Systems: Identify where and how ML can be most effectively applied across our pipeline and rigorously evaluate different approaches