Rad AI is the fastest growing radiologist-led AI company on the market. In addition to winning the 2021 award for “Best New Radiology Vendor” from AuntMinnie, Rad AI ended the year by closing a $25M Series A round and being named to the 2021 CB Insights Digital Health 150 – List of Most Innovative Digital Health Startups. Rad AI continued the momentum by being recognized as 2022 CB Insights AI 100 – Most Promising AI Companies.
Why we’re hiring for this role: We’re seeking multiple Senior Software Engineers with full stack (any mix of front end, backend, and database) experience to join our team building the future of radiology. You’ll work on Continuity or a new Rad AI product. Using NLP, Continuity identifies and tracks recommended follow-ups in radiology reports which significantly increases follow-up compliance, helping save patients’ lives. Our new product uses AI to improve radiologists’ efficiency and reduce burnout. This role will work alongside our high-performing cross-functional team of Full Stack Engineers, ML Engineers, and Product Leaders, and various other teams internally and externally to develop this responsive and performant application.
This is what you’ll do:
This is what you’ll need:
This would be nice to have:
$150,000 – $180,000 a year
This is an estimated salary range that is dependent on the candidate and their experience. Not included in this range is an up to 10% annual bonus as well as generous equity options.
We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, even if not an exact match, please still consider applying. Diversity of experience and skills combined with passion is a key to innovation and excellence; therefore, we encourage people from all backgrounds to apply to our positions.
Founded in 2018 by the youngest radiologist in US history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 7 of the 10 largest private radiology practices in the US. Rad AI uses large language models and state-of-the-art machine learning / generative AI to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care. Its first product, Rad AI Omni, saves radiologists an average of 60 minutes per day, and helps achieve up to 20% time savings per report.
Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team. Come and help us make a difference!
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