Staff Machine Learning Engineer

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.
Under limited supervision, this position is responsible for implementing low level technical solutions to challenging data driven problems. The role will require experience with simulation development, data cleaning, autonomy architecture design, continuous integration & continuous deployment frameworks (CI/CD), developing component level software tests, conducting code reviews, and development of artificial intelligence solutions. In addition, this position will be responsible for interfacing with internal and external customers to grow GA-ASI’s autonomy business. This will require business development meetings, proposal writing, technical presentations and other customer relationship building tasks.
DUTIES AND RESPONSIBILITIES:

• Performs other duties as assigned.
• Applies deep learning technologies to give computers the capability to visualize, learn and respond to situations of limited scope.
• 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.
• Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms of limited scope.
• Lead technical teams and scope challenging projects into executable sprints.
• 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.
• 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.
• Have a growth mindset and be comfortable in a setting where milestones shift often due to customer preferences or technology evolution.
• Completes programming and implements efficiencies, performs testing and debugging.
• 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.
• Drive code reviews to help team adhere to general DevSecOps and MLOps best practices.
• Completes documentation and procedures for installation and maintenance.
• Interface with external vendors and partners to integrate their technology into the team’s autonomy stack.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
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Job Qualifications:

• Must have an advanced 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.
• 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.
• Able to work extended hours as required.
• Must be able to work both independently and on a team.
• 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 experience as follows; nine or more years of experience with a bachelors degree, seven or more years of experience with a masters degree, or four or more years with a PhD. May substitute equivalent machine learning engineer experience in lieu of education.
• Must be able to understand new concepts quickly and apply them accurately throughout an evolving environment.
• Must have a demonstrated history of applying novel technical solutions in fast evolving product areas.
• Must have 5-10 years of experience leading technical teams and working in a customer facing role.
• Ability to obtain and maintain a DoD security clearance is required.

Salary:$128,130 - $229,358Travel Percentage Required 0 - 25Relocation Assistance Provided Not Provided US Citizenship Required? YesClearance Required? Desired Clearance LevelSecret WorkstyleHybrid