Title: Lead Machine Learning / Computer Vision Engineer Company/Institution: Stanford University Location: Stanford CA Department: Computer Science / Pediatrics Description: We are looking for a driven machine learning and computer vision engineer to co-lead our core technology team on the Autism Glass Project. You should have a strong background in applied mathematics, optimization, machine learning, and software development. We are working on research problems on a product development timeline, so you should be enough of a scientist to be able to understand and implement your average ICCV paper, and enough of a hacker to be able to immerse yourself in challenging tasks without much guidance or background and write production-ready code. Ideal candidates for this position have a PhD or MS in a field related to artificial intelligence as well as publications at conferences such as ICCV or NIPS. Required experience: • Linear Algebra • Machine Learning • Programming experience on a large-scale project in C/C++ • Computer Vision and OpenCV • Comfortable in a Unix environment with common developer tools Desired: • Knowledge of Objective-C, iOS, and Android development • GPU Programming experience • At least one scripting language and a basic understanding of processing large datasets • Previous work in face tracking, face recognition, or expression recognition • Image processing background • Deep learning experience and familiarity with Caffe Application Instructions: Contact nhaber at stanford [make the dot] edu