Machine Learning Engineer II

53791BR

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 Category:

Engineering

Experience Level:

Entry-Level (0-2 years)

Workstyle:

Onsite

Full-Time/Part-Time:

Full-Time Salary

Pay Range Low:

99,500

Pay Range High:

170,750

Travel Percentage Required:

0% - 25%

Relocation Assistance Provided?:

No

US Citizenship Required?:

Yes

Clearance Required?:

Desired

Clearance Level:

Secret

General Atomics is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, religious creed, ancestry, gender, pregnancy, sex, sexual orientation, transitioning status, gender identity, gender expression, national origin, age, genetic information, military and veteran status, marital status, medical condition, mental disability, physical disability, or any other basis protected by local, state, or federal law. In accordance with applicable federal law, General Atomics takes affirmative action to employ and advance the employment of qualified protected veterans and individuals with disabilities. We also prohibit compensation discrimination under all applicable laws. U.S. Citizenship is required for certain positions. To learn more, please review the EEOC's "Know Your Rights: Workplace Discrimination is Illegal" poster.