General Atomics Aeronautical Systems, Inc. (GA-ASI) is looking to develop and deploy end-to-end autonomous systems that enable unmanned aerial systems (UAS) to execute autonomous missions.
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.
- Strong computer skills are required to enable an effective interface with other professionals, to produce appropriate documentation, and to present results to a limited internal audience.
- Must have a demonstrated history of applying novel technical solutions in fast evolving product areas.
- Able to work with programming language and technologies to translate algorithms and technical specifications into code.
- Experience with machine learning engineering and deep learning technologies
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.
- Applies deep learning technologies to give computers the capability to visualize, learn and respond to situations of limited scope.
- Lead technical teams and scope challenging projects into executable sprints.
- Drive code reviews to help team adhere to general DevSecOps and MLOps best practices.
Other
- Typically requires a bachelors, masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning engineering experience
- Strong communication and interpersonal skills are required to enable an effective interface with other professionals
- Must be able to work both independently and on a team.
- Ability to obtain and maintain a DoD security clearance is required.
- US Citizenship Required
