Are you a Deep Learning researcher who has worked on Computer Vision problems? Does working with some of the leading Machine Learning academics in the US appeal? Fancy applying Machine Learning to help revolutionize healthcare? Do you want to work for a start-up destined for success?
An early-stage and well-funded Machine Learning start-up is recruiting for talented Computer Vision researchers with experience of using Deep Learning algorithms. They’re tackling complex problems in medical diagnostics and are intent on revolutionizing the field of radiology.
They have access to data that no other company working in this area has, that already sets them apart from the competition. Currently advised by some of the leading academic minds in machine learning as well as leading medical professionals from top hospitals, this start-up is well set to succeed.
Developing advanced machine learning algorithms for image detection, segmentation, and classification. Specifically, Deep Learning approaches such as CNNs, RNNs and LSTM.
Publishing your work and travelling to machine learning and computer vision conferences!
Building image pre-processing and alignment algorithms.
Working closely with Software Engineers to build models into production and deploy them in the cloud.
A degree in Computer Science (PhD preferred)
A publication record (ICCV, CVPR, NIPS) or the equivalent industry experience
Experience of building production-level machine learning systems, specifically for computer vision.
Experience of using Deep Learning frameworks (Tensorflow, Theano, Torch and Caffe)
Ability to describe and explain your research to people who aren’t Machine Learning practitioners.
Strong problem-solving skills, particularly for complex and unstructured problems!
Computer Vision Researcher application form
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