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Machina Cognita Technologies

ML/AI systems for defense and industry

Vice President of Research and Development

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A master's or PhD in Computer Science, Engineering, Physics, or a related field.
  • At least 10 years of industry experience.
  • At least 5 years of hands-on research and development experience in Machine Learning, Artificial Intelligence, or Autonomy.
  • At least 5 years of experience with Java or Python.
  • At least 5 years of experience with government contracting, proposal writing, and contract management, including SBIR/STTR and BAA Research and Development.
  • Strong communication, writing, interpersonal, and collaboration skills.

Responsibilities

  • Supervise, mentor, and develop an engineering research and development team.
  • Architect and deploy scalable machine learning solutions.
  • Drive design discussions and technical direction.
  • Build proof-of-concept prototypes and client demonstrations to win contract bids.
  • Serve as a subject matter expert, define engineering best practices, and drive adoption of new methodologies, concepts, and tools.
  • Collaborate with product managers and engineers to translate client needs into innovative solutions.
  • Travel to client destinations to facilitate product delivery and provide ongoing support and optimization.

Desired Qualifications

  • Military experience is preferred.

About the Company

Machina Cognita Technologies

ML/AI systems for defense and industry

Machina Cognita Technologies builds machine-learning systems for government, defense, and education to support human–machine teaming, decision making, and predictive analytics at the edge. It uses large language models, computer vision, and reinforcement learning to turn data from telemetry, logs, and doctrine manuals into real-time, natural-language analyses for users like warfighters and airfield operators. Unlike some peers, it emphasizes hands-on, field-driven requirements by sending scientists into customer environments and focuses on defense-oriented AI/ML and edge computing. The goal is to win government contracts by delivering practical, demonstrable prototypes that translate tactical needs into usable AI-enabled solutions.

Company size
11-50
Company stage
Grant
Total funding
$3.8M
Headquarters
San Marcos, TX
Founded
2017

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