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 are looking for an experienced Machine Learning Systems Engineer to join our team in Poway, CA. This person will lead a team in system development will bring prior expertise in Data and Machine Learning automation to help scale data-driven airborne sensing systems. The ideal candidate must have a wide breadth of engineering knowledge to support writing target detection algorithms for programs such as Air to Ground and Air to Air Radar, Broadband RF, Electronic Intelligence, Electronic Attack and Anti-Submarine Warfare.

DUTIES AND RESPONSIBILITIES:

• With limited direction, this position exercises considerable latitude in determining technical objectives for the review, research, design, development, and/or solution to advanced technical engineering problem (s).
• May function in a project leadership role providing direction and development roadmap to experienced professional staff.
• Formulates plans, typically long term, for solution(s) development, documentation, and deployment, as well as meeting various compliance, reporting, and safety standards.
• Evaluates the integration of the engineering solution within the overall engineering environment; and ensures that appropriate documentation, testing, maintenance, and engineering updates completed. Communicates with engineering professionals, solution users, and management throughout the solution development cycle, represents the company as a prime technical contact on contracts and/or projects, interacts with senior external personnel on technical matters requiring coordination between the organizations, and participates in the development of new or expansion of existing business.
• Determines technical objectives for solution(s) to advanced technical engineering problems.
• Represents the organization as a prime technical contact within and engineering team for assigned project(s)/program(s).
• May function in an advisory or leadership role for a project/program and provide direction and guidance to less experienced professional staff or team of professional staff.
• Formulates plans and guides the development and implementation of engineering solution(s) including deployment, resource requirements, testing, documentation, integration and compliance and safety.
• Plans and coordinates the maintenance of engineering solutions including, documentation, reporting, publishing, and making technical and other presentations to ensure viability of the solution(s) in an evolving environment.
• Plans for future applications of solutions based on new developments in engineering technology.
• Participates in or may lead the development of new or expansion of existing business opportunities.
• 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.

• Typically requires a bachelors degree, masters degree or PhD in computer science, engineering, mathematics or a related technical discipline from an accredited institution and progressive machine learning experience as follows; fourteen or more years of experience with a bachelors degree, twelve or more years of experience with a masters degree, or nine or more years with a PhD. May substitute equivalent machine learning experience in lieu of education.
• Demonstrates a detailed and extensive technical expertise and application of engineering principles, concepts, theory, and practice with the ability to organize, plan, schedule, conduct, and coordinate workloads to meet established deadlines or milestones with some experience in project leadership.
• Artificial Intelligence, Machine Learning, Radar, Image Processing, Data Engineering, Data Analyst, Perception.
• Experience with Data Science tools such as Python, Jupyter, Scikit, TensorFlow and PyTorch.
• Familiarity with standard data pipeline and MLOps concepts (frameworks, formats, labeling, databases and visualization).
• Industry leader in Machine Learning algorithms and techniques for training and model optimization.
• Proficient in C/C++ and Object Oriented design.
• General understanding of robotics concepts (coordinate systems, kinematics, sensors and Perception techniques).
• Experience with the Linux command line.
• Ability to obtain and maintain a DOD security clearance is required.