Machine Learning Engineer

At the heart of Rad AI is a mission to empower physicians with artificial intelligence, fundamentally transforming how they work and enhancing patient care. The company was conceived in 2018 by Dr. Jeff Chang, the youngest radiologist in U.S. history, and Doktor Gurson, a serial tech entrepreneur. Their shared vision was to address the critical challenges faced by radiologists, including burnout, reporting errors, and the ever-increasing volume of imaging studies. Rad AI's culture is built on a foundation of innovation, collaboration, and a relentless focus on the end-user – the radiologist – and ultimately, the patient. They believe that AI should augment and benefit medical professionals, not replace them, by streamlining repetitive tasks and allowing them to dedicate more time to complex image interpretation and critical decision-making.

Rad AI fosters a remote-first work environment, attracting top talent from across the globe. This approach emphasizes flexibility and trust, empowering team members to contribute their best work from wherever they are. The company values transparency and inclusion, bringing together exceptional individuals from diverse backgrounds in healthcare, AI, engineering, and product development. This multidisciplinary team works in close collaboration, driven by a shared passion for solving some of the most complex challenges in healthcare technology. Rad AI's commitment to its mission is evident in its rapid growth and widespread adoption across numerous U.S. health systems and radiology practices. They are dedicated to building practical, impactful AI solutions that not only improve efficiency and accuracy but also contribute to a more sustainable and effective healthcare ecosystem, ensuring that physicians have the tools they need to provide the highest quality of care while maintaining their own well-being.