Machine Learning Engineer III

Job Summary

General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.

Under general direction, this position is responsible for developing and programming integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments.

DUTIES & RESPONSIBILITIES

• Develops and communicates complex descriptive, diagnostic, predictive and prescriptive insights/algorithms.
• In product/systems improvement projects, uses complex 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 complex 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 a wide range of difficult situations.
• 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.
• 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, masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning engineering experience as follows; five or more years of experience with a bachelors degree or three or more years of experience with a masters degree. May substitute equivalent machine learning engineer experience in lieu of education.
• Must have a thorough understanding of machine learning concepts, principles, codes, and theory; experience demonstrating a broad application of those concepts; and, expanding knowledge of principles, concepts, theory, and practices in related technical specialties.
• Must possess the ability to develop and communicate new concepts; apply them accurately throughout an evolving environment; organize, schedule, and coordinate work phases; and, determine the appropriate approach at the task level or, with assistance, at the project level to provide solutions to a range of complex problems.
• Must have strong communication, computer, documentation, presentation, and interpersonal skills, ability to work independently and as part of a team; able to perform complex tasks in one or more engineering areas; capable of representing the organization as a prime technical contact and, lead a team of moderately experienced professional employees on single component projects. Able to work extended hours as required.