Machine Learning Engineer
Full Time
Poway, CA
$128,130 - $229,358 a year
Posted Today
Job description
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:
41212
Job Qualifications:
Salary:$128,130 - $229,358 Travel Percentage Required 0 - 25 Relocation Assistance Provided Not Provided US Citizenship Required? Yes Clearance Required? Desired Clearance LevelSecret WorkstyleHybrid
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:
- 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.
41212
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 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 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.
- 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.
- Must have 5-10 years of experience leading technical teams and working in a customer facing role.
- Must have a demonstrated history of applying novel technical solutions in fast evolving product areas.
- Able to work extended hours as required.
- Ability to obtain and maintain a DoD security clearance is required.
Salary:$128,130 - $229,358 Travel Percentage Required 0 - 25 Relocation Assistance Provided Not Provided US Citizenship Required? Yes Clearance Required? Desired Clearance LevelSecret WorkstyleHybrid
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