M ACHINE L EARNING S OFTWARE E NGINEER Job Description Are you a passionate Software Engineer , with a strong background in Python/C++ software development, a good understanding of computer architecture ? Are you interested in working with machine learning researchers and contribute to the development of biometric authentication technologies based on state - of - the - art deep learning techniques ? If so, you might be our new Machine Learning Software Engineer. KeyLemon develops biometric authentication solution for mobile devices based on 3D face recognition. We are looking for an experienced Python/C++ developer with design and coding expertise under Linux environment , and a good understanding of algorithm implementation. As part of the R&D team, you will be involved in t echnology transfer between applied r esearch and p rod uct development. You will closely work with our researchers to implement, train and evaluate machine learning algorithms. Responsibilities · Contribute to the development of machine learning algorithms for face recognition applications · Train and evaluate deep neural networks using TensorFlow · Develop software tools for d ata preparation and running l arge - scale experiments · Build and transfer machine learning models to the product development team Skills & Requirements Required : · Master degree in computer science , mathematics or related fields · Very good C/C++ and Python programming skills · Good understanding of computer architecture (CPU, GPU, memory, bandwidth, etc.) · Hands - on experience with at least one machine learning framework (TensorFlow, Torch, etc.) · Open - minded, fast learner and willingness to learn · Fluent spoken and written English Nice - to - have : · Familiarity with training and tuning neural networks · Knowledge in face recognition or other biometrics · Experience with CUDA programming About KeyLemon Founded in 2008 and headquartered in Martigny in the heart of the Swiss Alps, KeyLemon S.A. offers convenient and secure authentication solutions based on face biometrics for different platforms . With a long history in biometrics and expertise in 3D sensing, t he company aims to develop the next gener ation of deep learning based face reco gnition technologies. If interested, please send us your CV and cover letter to email@example.com with the following reference : KL - 2017 - Y 6 - JUP .
Rue du Collège 1 1920 Martigny