ABOUT RAD AI

At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. By combining our deep expertise in healthcare and AI and using one of the largest proprietary radiology report datasets in the world, our AI has uncovered hundreds of new cancer diagnoses for patients and reduced the error rate in tens of millions of radiology reports by nearly 50%.
We’ve raised over $140M - including a recent $60M Series C financing round, valuing the company at $525M and led by Transformation Capital, with participation from existing investors including Khosla Ventures and others.
Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than 1/3 of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. Recognized as one of the most promising healthcare AI companies by both CB Insights and AuntMinnie, and by Deloitte as the 19th fastest-growing company in North America, we are building cutting-edge AI products that make a real impact. If you’re ready to shape the future of healthcare, we’d love to have you on our team!

WHY JOIN US?

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. You will be building state-of-the-art speech and language 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 recognition 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.
• Mentorship and Collaboration Opportunities: Contribute to the growth of our dynamic Machine Learning Team through mentorship roles and collaborate with our esteemed in-house team of leading clinicians.