General Atomics Aeronautical Systems, Inc. (GA-ASI) is looking to develop and implement advanced machine learning algorithms and deep learning technologies to improve product/system performance, quality, data management, and accuracy, and to adapt these technologies to areas such as virtual reality, augmented reality, artificial intelligence, and robotics.
Requirements
- Must have an advanced understanding of machine learning concepts, principles, and theory.
- Demonstrates the ability to follow and apply advanced machine learning knowledge, adapt cutting edge standard techniques, and utilize the required diagnostics, tools and equipment, while ensuring safety and regulatory compliance.
- Must be able to understand new concepts quickly and apply them accurately throughout an evolving environment.
- Must have a demonstrated history of applying novel technical solutions in fast evolving product areas.
- Uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms.
- Uses programming language and technologies to translate algorithms and technical specifications into code.
- Applies deep learning technologies to give computers the capability to visualize, learn and respond to situations of limited scope.
Responsibilities
- Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms of limited scope.
- In product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to 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, uses programming language and technologies to translate algorithms and technical specifications into code.
- Completes programming and implements efficiencies, performs testing and debugging.
- Completes documentation and procedures for installation and maintenance.
- Applies deep learning technologies to give computers the capability to visualize, learn and respond to situations of limited scope.
- Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
Other
- Lead technical teams and scope challenging projects into executable sprints.
- Drive code reviews to help team adhere to general DevSecOps and MLOps best practices.
- Have a growth mindset and be comfortable in a setting where milestones shift often due to customer preferences or technology evolution.
- Interface with external vendors and partners to integrate their technology into the team’s autonomy stack.
- Maintains the strict confidentiality of sensitive information.
