UX Researcher/ Human Factors Designer (Cognitive Systems Engineer)

Description

Only candidates who can regularly work onsite in either

Dayton, OH

or

Boston, MA

will be considered.

Join Our Innovative Team at Mile 2!

Are you into solving tough problems and building cool tech? Do you thrive in a team where your ideas are heard and your creativity is encouraged? If you're nodding along, Mile 2 might be the place for you.

We're all about creating advanced solutions that really make a difference for our government partners. Our team uses the latest technologies to make a tangible impact, creating seamless integrations between human expertise and machine capabilities to tackle complex challenges.

Our core values guide everything we do:

Supported Autonomy : We trust you to take initiative and make decisions, but we've always got your back.

Humble Expertise : We respect everyone's knowledge and skills, creating an environment where we can all learn and get better together.

Success is a Team Effort : We believe that we can only achieve great things when we work as a team.

Tangible Results : We're motivated by the desire to create real, measurable impacts through our work.

When you join us, you'll work on meaningful projects that challenge you and help you grow. We offer a supportive and inclusive environment, competitive benefits, and plenty of opportunities to advance your career.

Defense Work
This role supports U.S. Department of Defense customers. Employees may be assigned to different projects over time, including projects involving defense operations.

Our Approach to AI in Hiring
At Mile 2, applications are reviewed by real people—not filtered out by bots. Authenticity matters more than keyword tricks.

We know you're probably using AI tools to help draft or polish your resumes, and that's fine! We're using AI to write this blurb about AI! But we expect you to make it your own. Resumes that feel copy-pasted —repetitive, oddly phrased, "too perfect" matches to our job description— may hurt your chances. Adding personal touches and real examples of your work will make your application stronger.

The use of AI tools or other external assistance during interviews is not permitted.

We look forward to meeting the real you!

DUTIES AND RESPONSIBILITIES:
We are seeking a Design / Research practitioner who designs systems for human cognitive load, complex workflows, and decision-making—not necessarily a software developer or data analyst. Mile 2 Cognitive Systems Engineers (CSEs) must analyze and optimize complex, fast-moving, and human-centric technical environments. Our core mission is to bridge complex technical tools with human workflows, ensuring that the organizations we work with can seamlessly adopt and leverage advanced data and software tools to make better decisions. We do this by utilizing a multidisciplinary, human-machine systems approach to eliminate operational friction and context-switching bottlenecks. Our CSEs ensure we achieve our mission by utilizing their skills to:

Cognitive Systems Engineering (CSE) Approach : Applies a CSE methodology to analyze and optimize human-system interaction, workflow integration, and usability across unmanned vehicle and command-and-control platforms for LCMC and US Government customers.

Knowledge Elicitation and Task Analysis : Executes Cognitive Task Analysis (CTA), structured subject matter expert interviews, and Knowledge Elicitation (KE) sessions to capture cognitive ground truth and operational friction points.

Work Domain and Systems Modeling : Develops Abstraction Hierarchies, Work Domain Analysis (WDA), and decision-support architectures to define complex battlespace workflows and data boundaries.

Project Leadership and Technical Oversight : Serves as Principal Investigators or lead engineers on multi-disciplinary projects, driving technical execution, research integrity, and strategic alignment with defense stakeholders.

Actionable Recommendations and Reporting : Delivers comprehensive CSE systems reports and actionable recommendations to enhance situational awareness, mitigate cognitive overload, and improve decision-making timeliness in high-stakes operational environments.

Requirements
Required Qualifications

Eligibility:

Must currently have an active U.S. Security Clearance

Location:

Must be able to work onsite in either Dayton, OH or Boston, MA.

Experience:

3–6 years of professional experience as a Cognitive Systems Engineer, Human Factors Engineer, UX Researcher, or in a closely related technical/operational role.

Core Specialty:

Strong foundational background in Cognitive Systems Engineering (CSE). Proven ability to map complex mental models, assess cognitive workload, and analyze context-switching friction.

Product & Training Strategy:

Experience bridging the gap between highly technical product development teams and non-technical end-users (determining where marketing, training, or workflow redesign is needed).

Consultative & Communication Skills:

Exceptional communication skills with the ability to confidently embed with client stakeholders, manage operational expectations, and proactively drive projects forward without heavy supervision.

Defense/Federal Space Familiarity:

Experience working with or supporting DoD clients, specifically the Air Force Research Laboratory (AFRL) or similar scientific/research defense environments, is highly preferred.

Leadership:

Ability to foster growth in individuals and teams. Effectively communicate orally and in written documentation up, down, and laterally across the organization and to external stakeholders.

DESIRED QUALIFICATIONS

Defense Sector Experience:

Prior experience working within or supporting Department of Defense (DoD) clients, specifically the Air Force Research Laboratory (AFRL/IZ or IZX) or similar military scientific and research environments.

AI & Advanced Tool Ecosystems:

Familiarity with or exposure to emerging artificial intelligence toolsets, large language model interfaces, or modern defense data environments (e.g., Genai.mil Agents, Envision, or equivalent platforms).

Cross-Functional Agile Collaboration:

Experience working within an integrated digital enablement ecosystem alongside distinct project spokes like technical training/upskilling pipelines and specialized AI development teams.

Contract & Program Growth Support:

Understanding of federal contracting environments, with the ability to identify operational alignment opportunities that support long-term contract consolidation strategies.

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