General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. The position involves developing and communicating descriptive, diagnostic, predictive and prescriptive insights/algorithms of limited scope. In product/systems improvement projects, the role utilizes machine learning and statistical modeling techniques, including decision trees, logistic regression, and Bayesian analysis, to develop and evaluate algorithms aimed at improving product/system performance, quality, data management, and accuracy. The candidate will work in both theoretical development environments and specific product design, implementation, and improvement environments, translating algorithms and technical specifications into code. Responsibilities include programming, implementing efficiencies, performing testing and debugging, and completing documentation and procedures for installation and maintenance. The role also involves applying deep learning technologies, leading technical teams, driving code reviews, and adapting machine learning to various applications such as virtual reality and robotics. The candidate will interface with external vendors and partners to integrate their technology into the team's autonomy stack, while maintaining confidentiality and adhering to laws and regulations.