Autonomy AI/ML Engineer - Edge & Robotics

General Atomics Aeronautical Systems, Inc.; Poway (CA); On-site; USD 84,000 - 141,000; Full time

Job summary

General Atomics Aeronautical Systems, Inc. (GA-ASI) is a world leader in remotely piloted aircraft and surveillance systems and seeks a Machine Learning Engineer in Poway, CA.

You will develop and deploy ML algorithms within the Autonomy and AI Solutions group to enable autonomous UAS missions. The role requires strong programming skills (Java, JavaScript, C/C++, Python) and experience with TensorFlow/PyTorch, with opportunities to lead teams and advance DevSecOps and MLOps practices in a

Qualifications

• Typically requires a bachelor's degree in computer science, engineering, mathematics, or a related technical discipline from an accredited institution.
• Must have an understanding of machine learning concepts, principles, and theory.
• Experience in developing and leading scalable software architectures from scratch.
• Experience in optimizing AI models to meet edge processing requirements.
• Strong coding skills in Java, Java Script, C/C++, Python.
• Experience in AI frameworks such as Tensorflow and pyTorch.

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.

Skills

Java

JavaScript

C/C++

Python

TensorFlow

PyTorch

ML frameworks

Education

Bachelor's degree in computer science, engineering, or mathematics

Tools

TensorFlow

PyTorch

Job description

General Atomics Aeronautical Systems, Inc. (GA-ASI) is a world leader in remotely piloted aircraft and surveillance systems and seeks a Machine Learning Engineer in Poway, CA.

You will develop and deploy ML algorithms within the Autonomy and AI Solutions group to enable autonomous UAS missions. The role requires strong programming skills (Java, JavaScript, C/C++, Python) and experience with TensorFlow/PyTorch, with opportunities to lead teams and advance DevSecOps and MLOps practices in a