Advancing AI Research Through Physics-Inspired Innovation
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Join Our Team

Help us build the future of AI research through physics-inspired innovation. We're looking for passionate researchers and engineers to join our mission.

Why Work With Us

At VerbumTechnologies, we're building the next generation of AI systems that are not just powerful, but also principled and aligned with the fundamental laws of physics. Our work spans the intersection of artificial intelligence, theoretical physics, and knowledge representation.

We offer a collaborative, interdisciplinary environment where researchers can explore cutting-edge ideas and contribute to groundbreaking discoveries in AI research.

What We Offer

Open Positions

Senior Research Scientist - AI & Physics

Full-time • Remote/Hybrid
Lead research in physics-inspired AI, focusing on neural path integrals and energy-based models. Develop novel frameworks that bridge AI and physical systems.
Requirements: PhD in Physics, Computer Science, or related field. Strong background in machine learning and theoretical physics. Experience with neural networks and optimization algorithms.
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Research Scientist - Knowledge Representation

Full-time • Remote/Hybrid
Develop novel approaches to semantic understanding and knowledge representation. Build AI systems that truly understand meaning and context.
Requirements: PhD in Computer Science, Linguistics, or related field. Experience with natural language processing, semantic analysis, and knowledge graphs. Strong programming skills in Python.
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Research Engineer - Neural Networks

Full-time • Remote/Hybrid
Implement and optimize physics-inspired neural architectures. Develop efficient training methods and scalable AI systems.
Requirements: MS/PhD in Computer Science or related field. Strong experience with PyTorch/TensorFlow, deep learning, and GPU computing. Background in optimization and numerical methods.
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Postdoctoral Researcher - Semantic Computing

Full-time • Remote/Hybrid
Research meaning-aware computational systems and contextual reasoning. Develop frameworks for building AI that understands relationships and context.
Requirements: Recent PhD in Computer Science, AI, or related field. Strong publication record in AI/ML conferences. Experience with semantic analysis and computational linguistics.
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Research Intern - AI Research

Internship • Remote/Hybrid
Work on cutting-edge AI research projects under the guidance of senior researchers. Contribute to our physics-inspired AI frameworks and semantic computing systems.
Requirements: Currently pursuing MS/PhD in Computer Science, Physics, or related field. Strong programming skills and interest in AI research. Available for 3-6 month internship.
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Software Engineer - AI Infrastructure

Full-time • Remote/Hybrid
Build and maintain the computational infrastructure that powers our AI research. Develop tools and platforms for efficient AI experimentation and deployment.
Requirements: BS/MS in Computer Science or related field. Experience with cloud computing, distributed systems, and ML infrastructure. Strong software engineering skills.
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Application Process

We're looking for passionate individuals who share our vision of advancing AI through physics-inspired innovation. Our application process is designed to be straightforward and focused on your research interests and technical capabilities.

How to Apply

  1. Email Application: Send your CV/resume and a cover letter to [email protected]
  2. Research Statement: Include a brief statement about your research interests and how they align with our work
  3. Portfolio: For technical positions, include links to relevant projects, publications, or code repositories
  4. Interview Process: Selected candidates will be invited for technical discussions and research presentations

Note: We're always interested in hearing from talented researchers, even if there isn't a specific position listed. Feel free to reach out with your research interests and background.