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Cognitive Systems Jobs (NOW HIRING)

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 ...

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 ...

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 ...

... and systems integration. www.tekwissen.com The Cognitive Environment Laboratory team at the Research Center is seeking a software engineer to help design and implement the next generation of ...

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Cognitive Systems information

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$22K

$73.1K

$148.5K

How much do cognitive systems jobs pay per year?

As of Jun 17, 2026, the average yearly pay for cognitive systems in the United States is $73,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $99,000.00 per year, depending on experience, location, and employer.

How do cognitive systems professionals typically collaborate with multidisciplinary teams in project settings?

Cognitive systems professionals often work closely with experts from fields such as data science, software engineering, neuroscience, and user experience design. Collaboration is key, as these professionals must integrate AI models and cognitive architectures into larger systems, requiring input from various technical and non-technical stakeholders. Regular cross-functional meetings, joint problem-solving sessions, and iterative prototyping are common, ensuring that the cognitive solutions are both technically sound and aligned with end-user needs. This collaborative environment fosters learning and innovation, while also presenting the challenge of communicating complex concepts across disciplines.

What are the key skills and qualifications needed to thrive as a Cognitive Systems Specialist, and why are they important?

To thrive as a Cognitive Systems Specialist, you need a strong background in computer science, artificial intelligence, and data analysis, often supported by a relevant degree or certification. Familiarity with machine learning frameworks, natural language processing tools, and cognitive computing platforms like IBM Watson is typically required. Analytical thinking, problem-solving abilities, and effective communication are important soft skills that help in interpreting complex data and collaborating with cross-functional teams. These skills and qualifications are essential for designing, implementing, and optimizing intelligent systems that drive business value and innovation.

What are cognitive systems?

Cognitive systems are advanced computing systems that simulate human thought processes to analyze data, learn from experiences, and make decisions. These systems use technologies like artificial intelligence, machine learning, natural language processing, and reasoning to interpret complex information and interact with humans in a more natural way. They are used in various industries, including healthcare, finance, and customer service, to automate tasks, provide insights, and enhance decision-making capabilities.

What is the difference between Cognitive Systems vs Data Analysts?

AspectCognitive SystemsData Analysts
Required CredentialsTypically requires degrees in AI, computer science, or related fields; certifications in machine learning or AIBachelor's or master's in statistics, mathematics, or related fields; certifications in data analysis tools
Work EnvironmentResearch labs, tech companies, AI development teamsBusiness, finance, healthcare sectors analyzing data sets
Industry UsageUsed in AI-driven applications, automation, and cognitive computing projectsUsed for data interpretation, reporting, and decision support

While both roles involve working with data and advanced technologies, Cognitive Systems focus on developing AI and machine learning solutions, whereas Data Analysts primarily interpret data to inform business decisions.

More about Cognitive Systems jobs
What cities are hiring for Cognitive Systems jobs? Cities with the most Cognitive Systems job openings:
Infographic showing various Cognitive Systems job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $73,113 per year, or $35.2 per hour.
Cognitive Systems Engineer

Cognitive Systems Engineer

Mile Two, LLC

Dayton, OH โ€ข On-site

Full-time

Posted 18 days ago

Be an early applicant


Job description

Description:

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. If you're ready to level up your career and be part of something special, check out our current openings and apply today.


This role is contingent upon Mile Two being awarded a specific government contract.


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.
Requirements:Qualifications
  • Ability to obtain a Security Clearance at Secret level, USG CAC, NIPR Access
  • Experience: 3โ€“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

At Mile 2, applications are reviewed by real peopleโ€”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 thatโ€™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 โ€”repetitive, oddly phrased, โ€œtoo perfectโ€ matches to our job descriptionโ€” may hurt your chances. Adding personal touches and real examples of your work will make your application stronger.


We look forward to meeting the real you!