Key Qualifications ＊ The candidate is required to have a track record and strong background in computer vision and machine learning. He/she must have a deep understanding of the algorithms used in this domain and must be up-to-date with the latest developments in computer vision and machine learning both in academia and in industry (e.g. deep learning). ＊ He/she must be aware of the challenges associated to the transition of a prototype into a final product. He/she is expected to have strong analytical and problem solving skills with the capability of thinking out of the box. ＊ He/She must have demonstrated leadership in both applied research and development.The candidate is required to have strong coding skills in C, C++ and possibly Python. Basic knowledge of Objective-C is desirable. ＊Experience with GPGPU programming is a plus. ＊ The candidate should be able to write clean, efficient and optimized code and to deliver an implementation that matches the standards required in a complex production environment. ＊ He/she should be familiar with the challenges of developing algorithms that must run efficiently on resource constrained platforms.The candidate must have excellent written and verbal communications skills, must be comfortable presenting his/her research to large audiences, and have the ability to work hands-on in cross functional teams. ＊ He/she is expected to perform well in a fast paced environment, to execute on the tasks assigned, to meet the production deadlines and, at the same time, to explore independently new innovative ideas in the field of computer vision and machine learning that can improve and transform the product experience of enno customers. ＊ The candidate must be able to deliver computer vision technologies compliant with the core values of enno, ensuring the highest standards of quality, scientific rigor, innovation and respect of the privacy. ＊＊＊He/she must be dedicated to making the best products on earth. Education M.S. or Phd in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on computer vision and/or machine learning. Experience in industry is a plus.
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