Human Factors Engineer

MORSE Corp • Cambridge, MA

1d

About The Position

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.

Requirements

• 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
• 5+ years of professional experience
• Experience with HMT, HMI, HSI, Human Factors, Human Performance, and Usability
• Experience engaging with end users and stakeholders
• Programming skills in Python

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

Benefits

• bonus
• stock
• 401(k) match
• paid time off
• medical
• dental
• vision
• life insurance
• 10 paid holidays per year

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level