Responsibilities
- Develop highly scalable classifiers and detectors that solve real-world problems
- Learn and understand a large body of research in deep learning and machine learning
- Participate in cutting-edge research for medical applications of computer vision
Must Have Experience
- Experience with deep learning and convolutional networks
- Strong theoretical and empirical research background
- Fluency with a deep learning framework and Python
Nice to Have Experience
- Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
- Large scale machine learning experience working with terabytes of data
- Implemented custom operations/modules in a deep learning framework
- Imagination, ambition, and curiosity
Top Skills
What We Do
Whiterabbit.ai was founded in 2017 to significantly reduce late-stage cancers by detecting them in their earliest stages, starting with breast cancer. We are developing a state-of-the-art artificial intelligence (AI) suite to improve:
Breast cancer screening rates
Radiologists’ accuracy, productivity, and workflow
Clinic operations to ensure patients receive timely and compassionate care
The patient experience through a mobile app that gives the consumer access to their medical images with the ability to instantly share
Nearly forty million women get mammograms every year in the US. About 1 in 8 women will develop invasive breast cancer over the course of her lifetime.
We hope through developing robust AI technologies, we can improve the speed and accuracy of cancer detection in radiology. Our solutions in development are aimed at redesigning the entire breast cancer screening process with a focus on compassion. Through redefining and shortening the screening and diagnosis experience for women, we aim to improve their patient experiences and outcomes.
Training AI to solve complex problems requires a robust data set. Whiterabbit and The Mallinckrodt Institute of Radiology at Washington University School of Medicine have forged a collaboration to build a world-class data set and lead the advancement of breast cancer detection with machine learning.
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