Human Factors Engineer Cambridge, MA

Morse Corp.; Mississippi; On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Human Factors Engineer to enhance the effectiveness of AI systems in operational environments. This role involves engaging with users to assess performance, leading studies to define metrics for Human-AI teaming, and providing technical direction to teams. Your expertise in cognitive psychology and human factors will be crucial in developing innovative solutions for national security. Join a collaborative team that values work-life balance and offers a hybrid work environment, making a significant impact in the field of defense technology.

Benefits

Employee Ownership

Flexible Work Environment

Comprehensive Benefits Package

Qualifications

• 5+ years of professional experience in Human Factors and Usability.
• Advanced data analysis skills for evaluating human-AI performance.

Responsibilities

• Lead user engagement studies and knowledge elicitation sessions.
• Perform Human-Machine Teaming Test and Evaluation of AI systems.
• Provide technical direction and leadership to teams.

Skills

US Citizenship

Cognitive Psychology

User Experience

Human Factors

Python Programming

Human Performance

Usability

Statistical Analysis

Education

MS or PhD in Cognitive Psychology or related field

Job description

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

1. Perform Human-Machine Teaming Test and Evaluation (HMT T&E) of Artificial Intelligence.
2. Lead user engagement studies, knowledge elicitation sessions, human-in-the-loop assessments, and workflow analysis.
3. Identify appropriate human performance metrics to evaluate the system performance and effectiveness of Human-AI Teaming.
4. Perform quantitative and qualitative assessments of human performance with AI systems.
5. Liaison between data scientists, software developers, analysts and end users.
6. Perform descriptive and inferential statistics to characterize human performance.
7. Be familiar with a wide range of metrics to assess signal detection from a human performance as well as a machine-learning perspective.
8. Provide technical direction and leadership to small-mid sized teams.

Skills and Requirements

1. US CITIZENSHIP REQUIRED and ability to obtain a U.S. Security Clearance.
2. MS or PhD in Cognitive Psychology, Psychology, User Experience, Human Factors, Mathematics, Statistics, Engineering, or other related field.
3. 5+ years of professional experience.
4. Experience with HMT, HMI, HSI, Human Factors, Human Performance, and Usability.
5. Experience engaging with end users and stakeholders.
6. Programming skills in Python.

We are employee-owned, meaning all of our staff are shareholders and we have no outside investors, so we focus on what is best for our customers and our team. We pursue steady, long-term success while maintaining a collaborative, enjoyable work experience for our employees. Our team values work-life balance through flexibility, a hybrid work environment, and comprehensive benefits package for employees and families. For more information, please visit www.morsecorp.com.

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