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, i... more details
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.
We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy end-to-end autonomous systems that enable unmanned aerial systems (UAS) to execute autonomous missions.
DUTIES AND 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.
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.
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.
Interface with external vendors and partners to integrate their technology into the team’s autonomy stack.
Maintains the strict confidentiality of sensitive information.
Performs other duties as assigned.
Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company.
Expected to work in a safe manner in accordance with established operating procedures and practices.
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
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 as follows; five or more years of experience with a bachelors degree or three or more years of experience with a masters degree. May substitute equivalent machine learning engineer experience in lieu of education.
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 communication, computer, and interpersonal 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 be able to work both independently and on a team.
Must have a demonstrated history of applying novel technical solutions in fast evolving product areas.
Able to work extended hours as required.
Ability to obtain and maintain a DoD security clearance is required.
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