In new product design roles, use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. In both theoretical development environments and specific product design, implementation, and improvement environments, use current programming language and technologies to translate algorithms and technical specifications into code. Complete programming and implement efficiencies, perform testing and debugging. Complete documentation and procedures for installation and maintenance. Apply deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Adapt machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience. Work with large scale computing frameworks, data analysis systems and modeling environments. Having wide-ranging experience, use professional concepts and company objectives to resolve complex issues in creative and effective ways. Work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercise judgment in selecting methods, techniques, and evaluation criteria for obtaining results. Networks with key contacts outside own area of expertise. Determine methods and procedures on new assignments and may coordinate activities of other personnel.
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Job Type
Full-time
Career Level
Senior