Deep Learning Engineers
Optalysys is developing revolutionary optical processors to solve some of the biggest challenges in computing.
We are looking for super enthused and motivated experts that share our vision to join our crack team and play a major role in building the future of computing.
The primary application of the technology is an optical implementation of image-based deep learning models based on Convolutional Neural Networks (CNN).
Deep Learning Engineers are required to aid in the optimisation of models and develop efficient methods that utilise the features and advantages of the optical functions. Candidates must be willing to support the development of new techniques based on existing deep learning approaches and be capable of developing within a dynamic team. Preferably they must be competent in Python, C++ and have experience using Tensorflow and the other major Deep Learning frameworks.
Positions are based at our U.K. Headquarters in Yorkshire and at our U.S. subsidiary in Reno, Nevada, USA.
Experience in developing optimal Deep Learning models.
Ability to work effectively as part of a team and to work with other technical teams to develop a suite of products and solutions.
Python, C++ and/or R programming experience.
Experience working with Tensorflow and other major Deep Learning frameworks.
Excellent interpersonal, oral and written communication skills.
Ability to work independently and effectively across geographically displaced teams.
Creative thinker, analytical and problem solver.
Enthusiasm and ability to work in a collaborative, fast-paced, changing environment.
Positions are based in the U.K. Yorkshire office and at our U.S. subsidiary in Reno, Nevada, USA. Candidates must have permission to work in the U.K. or U.S. respectively at the time of starting their employment.
Some travel may be required.
PhD with specific Deep Learning focus.
Experience with conventional and alternative computer processing hardware.