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General Atomics Aeronautical Systems · 2 hours ago

Machine Learning Engineer

Poway, CA

Full-time

Onsite

Mid, Senior Level

$98K/yr - $171K/yr

2+ years exp

General Atomics Aeronautical Systems, Inc. (GA-ASI) is a world leader in remotely piloted aircraft and tactical reconnaissance radars. They are seeking a Machine Learning Engineer to develop and deploy autonomous systems for unmanned aerial systems, focusing on algorithm development and implementation.

EnergyEnergy EfficiencyManufacturingWireless

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

Machine LearningAI FrameworksSoftware ArchitectureProgramming SkillsDeep LearningStatistical ModelingProject ManagementCommunication SkillsInterpersonal SkillsTeamwork

Required

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

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