Machine Learning Engineer II

53791

Company:

General Atomics Aeronautical 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 Dev Sec Ops  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 #:

53791

Job Category:

Engineering

Travel Percentage

Required:

0% - 25%

Full-Time/Part-Time:

Full-Time Salary

State:

California

Clearance Level:

Secret

Pay Range Low:

98,100

City:

Poway

Clearance Required?:

Desired

Pay Range High:

171,398

Recruitment Posting

Title:

Machine Learning Engineer

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 py Torch.
• 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…