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Transforming radiology with the latest advances in ai to save radiologists 60+ minutes a day

Jobs at Rad AI

RAD AI is applying deep learning to Radiology in order to save lives and reduce the cost of healthcare. We’re based in Berkeley (a very short walk from BART), are backed by top VCs, and work closely with our radiology partners to ensure we build tools people want to use. Using datasets of billions of images & associated documents, we design products that make life better for both radiologists and the patients they serve. Join our world-class team of engineers in building and deploying products that actually make a difference. You’ll be an early employee on an awesome team, helping us shape the long-term product vision. This is a highly practical role- we’ll provide you freedom to define and expand your responsibilities wherever possible. If you’re always learning and growing, we want you! We are not your typically startup- we value a culture of diversity, inclusivity, mutual respect, and are working to build a company people are proud of being in. The team at RAD AI works hard but believes that a positive work life balance makes everyone more productive- we maintain a "minimum time off policy" (similar to an unlimited time off policy except we make sure you take at least two vacations a year where you are 100% disconnected from the company) and have flexible hours. Of course, like any startup, we also supply snacks and lunch.
Showing 5 of 5 jobs
Engineering

Software Engineer

Posted 3 months ago
  • Help define roadmap and architecture based on technology and business needs.
  • Create applications for both production clients and machine learning researchers.
Engineering

Senior Software Engineer - Windows Desktop

Posted 4 months ago
  • Develop desktop applications that save time for radiologists and patients alike
  • Find and build solutions for challenging customer requests to improve the Rad AI experience
Engineering

Senior Infrastructure Engineer

Posted 4 months ago
  • Architect and build highly available systems with a focus on security.
  • Utilize existing tools and create new ones to ensure a stable testing and deployment system.
Engineering

Senior NLP Engineer

Posted 1 month ago
  • Develop high precision classifiers and tools leveraging machine learning, regression and rule-based models.
  • Create tools to scale and visualize systems in order to understand what they are doing and guide their improvement.
Product

Lead Product Manager

Posted 4 months ago
  • Work cross-functionally to guide and ship products by connecting the technical and business teams
  • Define product priorities based on data, user insights, market intelligence and engineering considerations