Engineering

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AI radiology software for workflow and follow-up management

Co-founder & CEO

Healthcare Moves: A Monthly Summary of Hires, Exits and Layoffs

Rad AI's $50 Million Series B Infusion Accelerates AI's Positive Impact on Healthcare

Rad AI Appoints Former Google Cloud and Coinbase Executive Leonard Law as Chief Product Officer

Fifty Years Portfolio - Rad AI

Associate, Revenue Operations & Strategy

Rad AI is a healthcare artificial intelligence company transforming radiology through AI-powered solutions. The Associate, Revenue Operations & Strategy will drive partner value storytelling, commercial strategy and analytics, revenue reporting, and go-to-market data infrastructure while partnering with customers, leadership, finance, product, and commercial teams.

Vice President of Sales, West

Rad AI is on a mission to transform healthcare with artificial intelligence, and they are seeking a dynamic sales leader to own the Western U.S. and drive growth within health systems and radiology groups. The Vice President of Sales will lead a team of Regional VPs, participate directly in deals, and act as the GM of the region, ensuring the team meets or exceeds revenue goals.

Staff Software Engineer, Continuity

Rad AI is on a mission to transform healthcare with artificial intelligence, revolutionizing radiology to improve patient care. The Staff Software Engineer will work with a cross-functional team to develop applications that enhance care coordination and follow-up in radiology.

Software Engineer, Infrastructure (All Levels)

Rad AI is on a mission to transform healthcare with artificial intelligence, revolutionizing radiology and improving patient care. They are seeking multiple Infrastructure Engineers to design and operate robust, scalable systems, contributing to infrastructure architecture and reliability practices.

Staff ML Research Scientist

Rad AI is a company focused on transforming healthcare through artificial intelligence, particularly in the field of radiology. They are seeking a Staff Machine Learning Research Scientist to lead applied research in NLP and clinical AI, collaborating with various stakeholders to translate research into practical systems that enhance healthcare outcomes.

Staff Machine Learning Research Scientist

Rad AI is a healthcare artificial intelligence company developing AI-driven solutions for radiology and clinical workflows. The Staff Machine Learning Research Scientist will lead applied research in NLP, LLMs, retrieval, and multimodal modeling, taking research from problem framing through production and monitoring. The role also partners with clinicians, engineering, and product teams while establishing standards for model quality, safety, reliability, and observability.

Staff ML Research Scientist (Clinical)

Rad AI is on a mission to transform healthcare with artificial intelligence, focusing on revolutionizing radiology to improve patient care and reduce burnout. They are seeking a Staff Machine Learning Research Scientist to lead high-impact ML research projects in clinical NLP, collaborating closely with clinicians and engineers to enhance diagnostic reasoning and reporting accuracy.

Staff Software Engineer - Infrastructure

Rad AI is transforming healthcare with artificial intelligence, focusing on improving radiology through innovative AI-driven solutions. They are seeking a Staff Software Engineer to design and operate robust cloud infrastructure systems, ensuring reliability and scalability for their AI product suite.

Senior Software Engineer, Infrastructure

Rad AI is on a mission to transform healthcare with artificial intelligence, revolutionizing radiology through AI-driven solutions. They are seeking a Senior Software Engineer to design and operate robust, scalable systems, contributing to infrastructure architecture and reliability practices.

Software Engineer, Infrastructure

Rad AI is a healthcare technology company focused on transforming healthcare through artificial intelligence. They are seeking multiple Infrastructure Engineers to design and operate robust, scalable systems, contributing to infrastructure architecture and reliability practices within their Platform Engineering organization.