|Title: 2 x Machine Learning Engineers – Deep Learning / Computer Vision ||Posted: March 9, 2017|
Description: I am working in partnership with an exciting firm that have had one of the best seeding rounds in Europe this year. They are funded by the same VCs that backed DeepMind, Facebook, AirBnB, Siri, Spotify and others.
My client is building a self-service deep learning platform that will be able to automate any visual inspection tasks. They are utilising cutting-edge techniques such as one shot learning to minimise the amount of time it will take to train their platform to adapt to the demands of each user. Alongside this, they are also using skills/techniques such as:
Tracking, Multi-Target Tracking, Detection, Segmentation, Image Processing, Video Processing, CNNs, RNNS, LSTMs, Reinforcement Learning, Transfer Learning, TensorFlow, Python/C++ etc.
This firm are already working with clients and generating revenues across two continents with a pilot scheme alone. A rapid expansion is set in place following swift initial successes. They also have one of the most successful names in Computer Vision working with them as a Scientific Advisor.
My client will encourage the publishing of research and attendance of leading conferences to ensure their staff will remain at the forefront of Tech/R&D.
They are looking for people at Masters/PhD level with a strong grounding in both Machine Learning (and/or Deep Learning) as well implementation. My client is agnostic to candidates’ programming background (Python, C/C++, Java) and any experience with CUDA would be great, though it is not a prerequisite. The ideal candidates will also have some industry experience in the world of start-ups.
After these hires and further product development, my client has a lot more growth planned through 2017, so now is a fantastic time to join and earn a very competitive salary plus equity.
Application Instructions: If you would like to find out more details on this fantastic company, please apply with a CV to this advert or to my email – email@example.com