Machine Learning Engineer

General Atomics Aeronautical Systems; Poway (CA); On-site; USD 98,000 - 171,000; Full time

Job summary

General Atomics Aeronautical Systems, Inc. (GA-ASI) in Poway, CA, seeks a Machine Learning Engineer for the Autonomy and AI Solutions Software group to develop ML models and deploy autonomous capabilities for unmanned aircraft.

You will translate algorithms into production code, perform testing, and collaborate across teams while maintaining security standards and readiness for DoD environments. Strong Python/C++, TensorFlow or PyTorch and edge processing skills are essential.

Qualifications

• Bachelor's or Master’s in computer science, engineering, mathematics or related technical discipline with 2+ years ML experience.
• Understanding of machine learning concepts, principles, and theory.
• Ability to follow and apply advanced ML knowledge, adapt cutting edge techniques while ensuring safety and regulatory compliance.
• 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, JavaScript, C/C++, Python.
• Experience in AI frameworks such as TensorFlow and PyTorch.
• Excellent verbal and written communication skills.
• Ability to architect, design, and develop complex software.
• Project management and leadership skills including organizing, planning, scheduling and coordinating workloads.
• Active membership and participation in relevant conferences and professional societies.
• Recent publications in AI/ML and autonomy.
• Ability to quickly understand new concepts and apply them in evolving environments.
• Strong communication and interpersonal skills for interface with professionals and documentation.
• Ability to work independently and in a team; extended hours and travel as required.
• Ability to obtain and maintain a DoD security clearance.

Responsibilities

• Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms of limited scope.
• Uses ML and statistical modeling techniques to develop and evaluate algorithms to improve product/system performance, data management and accuracy.
• Translates algorithms and technical specs into production code.
• Completes programming, testing and debugging.
• Documents installation and maintenance procedures.
• Applies deep learning to visualize, learn and respond to situations of limited scope.
• Leads technical teams and scopes projects into executable sprints.
• Drives code reviews to align with DevSecOps and MLOps practices.
• Maintains a growth mindset in a changing environment.
• Adapts ML to AR/VR/AI/robotics domains for interactive experiences.
• Interfaces with external vendors to integrate technology into the autonomy stack.
• Maintains confidentiality of sensitive information.
• Performs other duties as assigned.
• Observes laws, regulations and safety procedures in all work.

Skills

Java

JavaScript

C/C++

Python

TensorFlow

PyTorch

Education

Bachelor's or Master's in CS/Engineering/Math

Tools

TensorFlow

PyTorch

Job description

Job Summary

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.

Job Summary

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.

Job Qualifications

• Typically requires a bachelors or master's degree in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and two or more years of machine learning experience with a bachelors degree. May substitute equivalent machine learning engineer experience in lieu of education.
• Must have an 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.
• 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.
• Excellent verbal and written communication skills.
• Must be able to architect, design, and develop complex software.
• Technical expertise in the application of engineering principles, concepts, theory, and practice as well as project management and leadership skills including organizing, planning, scheduling, and coordinating workloads to meet established deadlines or milestones.
• Active membership and participation in relevant conference and professional society organizations.
• Demonstrated recent history of academic quality publications in the area of AI/ML and autonomy.
• 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.
• Able to work extended hours as required.
• Customer focused, must be able to work on a self-initiated basis and in a team environment, and able to work extended hours and travel as required.
• Ability to obtain and maintain a DoD security clearance is required.

Job Type: Full-Time Salary

Salary range: 98,100 - 171,398