Cognitive Systems Engineer

Join Our Innovative Team at Mile 2!

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.

About the Role

Mile Two Cognitive Systems Engineers 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 Cognitive Systems Engineers ensure we achieve our mission by utilizing their skills to:

• Fully Own End-to-End Adoption: Take complete operational ownership of the rollout and workforce integration of digital products, driving user engagement and minimizing friction across the broader customer workforce.
• Analyze Workflows & Friction: Apply core Cognitive Systems Engineering (CSE) methodologies to analyze human-workflow friction, interface directly with complex technical product teams, and design seamless human-machine adoption strategies.
• Manage Clients & Stakeholders: Act as the dedicated, trusted operational partner to the client lead, absorbing daily logistics and execution to transition client leadership from hands-on tasks to high-level strategy.
• Feed the Cross-Spoke Pipeline: Proactively engage with the workforce to identify tool struggles and organizational skill gaps, collaborating directly with the Digital Upskilling lead to feed the pipeline with clear targets for new course creation and marketing materials.
• Drive Strategic Agile Alignment: Collaborate closely with the PM and the broader Digital Enablement team to foster a fluid, responsive resource ecosystem that easily adapts to shifting client needs.

Duties and Responsibilities

Mile Two Cognitive Systems Engineers 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 Cognitive Systems Engineers ensure we achieve our mission by utilizing their skills to:

• Fully Own End-to-End Adoption: Take complete operational ownership of the rollout and workforce integration of digital products, driving user engagement and minimizing friction across the broader customer workforce.
• Analyze Workflows & Friction: Apply core Cognitive Systems Engineering (CSE) methodologies to analyze human-workflow friction, interface directly with complex technical product teams, and design seamless human-machine adoption strategies.
• Manage Clients & Stakeholders: Act as the dedicated, trusted operational partner to the client lead, absorbing daily logistics and execution to transition client leadership from hands-on tasks to high-level strategy.
• Feed the Cross-Spoke Pipeline: Proactively engage with the workforce to identify tool struggles and organizational skill gaps, collaborating directly with the Digital Upskilling lead to feed the pipeline with clear targets for new course creation and marketing materials.
• Drive Strategic Agile Alignment: Collaborate closely with the PM and the broader Digital Enablement team to foster a fluid, responsive resource ecosystem that easily adapts to shifting client needs.

Qualifications

• Ability to obtain a Security Clearance at Secret level, USG CAC, NIPR Access
• 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.

Desired Qualifications

• Defense Sector Experience: Prior experience working within or supporting Department of Defense (DoD) clients, specifically the Air Force Research Laboratory 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.

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.

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

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 I —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.