Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Human Factors Engineer
Job
MORSE Corp
Washington, DC (In Person)
$150,000 Salary, Full-Time
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
74
out of 100
Average of individual scores
Skill Insights
Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Human Factors Engineer MORSE Corp - 4.7 Washington, DC Job Details $90,000 - $210,000 a year 4 hours ago Qualifications Stakeholder engagement Human-machine interface (HMI) systems Python Full Job Description MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem. Human Factors Engineer At MORSE, we solve hard problems to field innovative technology to our customers in the US Department of Defense and the Intelligence Community. We are a company of smart people, who are easy to work with and passionate about making an impact for national security. Our work spans UAVs with precision delivery, novel AI capabilities, Test and Evaluation to make sure the AI solutions accomplish their intended missions, and advanced Decision Systems to arm the warfighter with data to make better, faster decisions to plan missions and have situational awareness into potential threats. Job Summary As a Human Factors Engineer, you will work with end users and stakeholders to assess the operational effectiveness and performance of Artificial Intelligence (AI) systems. As we perform Operational Test & Evaluation (OT&E), you will lead user engagement and knowledge elicitation studies to understand user requirements and define metrics to assess the effectiveness of Human-AI teaming in operational environments. You will use your knowledge of iterative design processes to regularly elicit feedback regarding the human-AI teaming experience to recommend best practices, including design mock-ups, for enhancing the user's operational effectiveness. You will also use your advanced data analysis skills to evaluate human-AI performance under different operational conditions to tailor AI technical solutions for specific operational scenarios and tempos. Responsibilities Perform Human-Machine Teaming Test and Evaluation (HMT T&E) of Artificial Intelligence Lead user engagement studies, knowledge elicitation sessions, human-in-the-loop assessments, and workflow analysis Identify appropriate human performance metrics to evaluate the system performance and effectiveness of Human-AI Teaming Perform quantitative and qualitative assessments of human performance with AI systems Develop UI mockups Liaison between data scientists, software developers, analysts and end users Perform descriptive and inferential statistics to characterize human performance Be familiar with a wide range of metrics to assess signal detection from a human performance as well as a machine-learning perspective Provide technical direction and leadership to small-mid sized teams Skills and Requirements