Ultra-bright Machine Vision / Image Processing Gurus (23754)
This is a very rare opportunity to develop next generation products for one of the most exciting application areas in Machine Learning and Artificial Intelligence. These exciting roles call for exceptionally bright PhDs (or top graduates / experienced engineers with relevant commercial experience) who are self-starting high-achievers with proven skills.
Working alongside some of the brightest innovators in the industry, you should have an outstanding academic background (top degree from a top Uni & excellent A level grades / equivalents) in Mathematics, Computer Science, Engineering or similar, plus excellent hands-on coding skills (ideally C, C++, Python) along with the drive and ambition to rapidly advance your career.
You will work on innovative applied research projects including the development and implementation of state-of-the-art Image Classification applications and Structure from Motion algorithms.
Ideally you should have practical experience in developing Machine Learning algorithms (experience in the application of Convolutional Neural Networks would be advantageous) and a good knowledge of a Machine Learning toolkit such as Theano, Caffe, Tensor Flow, Torch. Experience of OpenCV and familiarity with open source development platforms would also be an advantage.
This is a very rare opportunity to join an exciting, well funded Machine Vision / Image Processing project, directed by a renowned and highly respected team, based in Bristol close to the railway station.
As the team grows, you will find yourself quickly surrounded by subject matter experts in one of the most exciting technology domains and will rapidly gain knowledge and experience.
Keywords: Machine Vision, Image Processing, Theano, Caffe, Tensor Flow, Torch, Neural Networks, Machine Learning, Image Classification, Structure From Motion, Mathematics, Computer Vision, 3D Graphics / Modelling, C, C++, Python, Probabilistic Modelling, Convolutional Neural Networks, supervised and unsupervised learning technologies.
Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.