OCTOML, INC. – $127,338.00/Year

Knowledge of how to develop the next generation deep learning framework featuring builtin deep learning compiler optimizations; Knowledge of how to optimize deep learning models for computer vision on GPU; Knowledge of programming in CC and Python; Knowledge of implementing or optimizing linear algebra functions; Knowledge of Machine Learning Frameworks; Knowledge of CUDA, OpenCL, Machine Learning Systems, Compilers; Knowledge of computer systems, focusing on how computer systems execute programs, store information, and communicate, including the following machinelevel code and its generation by optimizing compilers, performance evaluation and optimization, computer arithmetic, memory organization and management, networking technology and protocols, and supporting concurrent computation; Knowledge of Probabilistic Graphical Model with a focus on an unified view for wide range of problems, enabling efficient inference, decisionmaking and learning in problems with a very large number of attributes and huge datasets, including these aspects The core representation, including Bayesian and Markov networks, and dynamic Bayesian networks, probabilistic inference algorithms, both exact and approximate, and learning methods for both the parameters and the structure of graphical models; Knowledge of Advanced Machine Learning Theory and Methods focusing on theoretical foundations of modern machine learning, as well as advanced methods and frameworks used in modern machine learning, including advanced machine learning methods such as nonparametric density estimation, nonparametric regression, and Bayesian estimation, as well as advanced frameworks such as privacy, causality, and stochastic learning algorithm; Knowledge of Computer Vision with a focus on the fundamental techniques used in computer vision, that is, the analysis of patterns in visual images to reconstruct and understand the objects and scenes that generated them, including image formation and representation, camera geometry, and calibration, computational imaging, multiview geometry, stereo, 3D reconstruction from images, motion analysis, physicsbased vision, image segmentation and object recognition.br br Any suitable combination of education, training, or experience is acceptable. The employer will accept any level of knowledge or proficiency in the specific skills listed in this section.br br May work from the companys headquarter office in Seattle, WA or reside anywhere in the U.S. and work remotely from home. May work at other U.S. locations not presently known.