Paige.AI is a software company leading a digital transformation in pathology by leveraging advanced Artificial Intelligence (AI) technology in its products to enable a cloud-based workflow for pathology. This AI is powered by an agreement with Memorial Sloan Kettering (MSK), a global leader in cancer care, for exclusive access to millions of pathology slides and pathologist reports. We are backed by a $25 million series A financing and are the first to have AIRI, the most advanced architecture ever built for scale-out AI, with a GPU performance of over 10 petaFLOPS.
We’re seeking an AI Research Engineer to join us. In this role you’ll join a team of world-leading experts in machine learning, computer vision and pathology. You’ll be part of the team that builds solutions for pathologists, clinicians and researchers to accelerate and improve the accuracy of cancer detection, classification and staging.
This is an extraordinary opportunity to be part of a high-performing team and to pursue a life-changing mission.
Implement deep learning algorithms and develop next-generation convolutional neural network – based algorithms for the semantic segmentation and classification of cancer.
Work closely with AI Scientists to plan, develop, train and test machine learning models for the purposes of computational pathology.
Validate and test deep learning models on large scale clinical pathology image data.
Optimize algorithms for efficiency, speed, and usability.
You have strong experience implementing and evaluating deep neural networks, especially for computer vision tasks.
You hold a Bachelors’ degree or masters degree in computer science or related field.
You have strong experience with Python.
Experience with distributed systems and HPC distributed setups is desirable.