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Cambridge, Massachusetts, United States
Onsite
Not Available
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.
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.
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.
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
US CITIZENSHIP REQUIRED and ability to obtain a U.S. Security Clearance
MS or PhD in Cognitive Psychology, Psychology, User Experience, Human Factors, Mathematics, Statistics, Engineering, or other related field
Experience with HMT, HMI, HSI, Human Factors, Human Performance, and Usability
Experience engaging with end users and stakeholders
Programming skills in Python
MORSE Corp’s salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.
Employees also receive 10 paid holidays per year. MORSE maintains an “open” leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an “unlimited” paid leave policy.
The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit www.morsecorp.com.