We use deep learning to increase the accuracy and efficiency of radiologists.
Why join us?
Our product will save lives by helping radiologists do their work faster and more effectively.
The founders have deep domain expertise and have had successful exits in the past. They're also YC alumni.
The company is funded by Google's AI fund.
We've already partnered with some of the largest radiology groups in the US and have access to a dataset with billions of images.
Engineering at Rad AI
Our engineering team does two-week sprint cycles. We’re split into ML Research, Infrastructure, and Software Development - although with the current team size that split is more theoretical than practical.
We're working to reduce inference times in our production environment and looking into ways to automate some of our infrastructure.
You'll be building web tools and dashboards to help ML engineers innovate on our existing models.
You will be building tools that will allow radiologists to evaluate and annotate our datasets in the most efficient way possible.
You'll work with our infrastructure team to help layout the architecture for our production environment.
Working at Rad AI
Here at Rad AI, we’re focused on transparency, inclusion, close collaboration, and building an incredible team. Come and help us make a difference!
Rad AI has unlimited vacation policy with min 2 weeks.
We tend to eat our at local restaurants 2 days a week and have lunch delivered to our office for the other 3 days. Meals are 100% covered by Rad AI.
Most of our engineers attend 2-4 conferences per, and it's 100% covered by Rad AI.
We provide medical, dental, and vision insurance.
Most of our engineers are in the office from 10am - 6pm. We try to maximize overlap to ensure everyone is available for occasional meetings.
We try to do board game night at least once per month.
We offer a moving stipend if you're relocating from out of state.
Our office is only a few blocks from the BART Station.
Interested in this company?
Skip straight to final-round interviews by applying through Triplebyte.