Axiomatic AI"s mission :
Axiomatic AI aims to accelerate R&D by "Automated Interpretable Reasoning" (AIR) a verifiably truthful AI model built for reasoning in science and engineering.
Axiomatic AI is hiring top talent interested in a future of human reasoning aided by not replaced by AI, and a future that empowers a new generation of innovators to solve important problems through deep-tech engineering in the semiconductor ecosystem.
Responsibilities :
- Project 1 : Probabilistic Models for Uncertainty Quantification in AI
- Develop advanced probabilistic models to quantify uncertainty in AI predictions.
- Integrate these models with existing AI systems to improve reliability and decision-making.
- Validate the effectiveness of the models through real-world applications and case studies.
- Project 2 : Integrating Factor Networks and Knowledge Graphs for Enhanced AI Reasoning
- Design methods to integrate factor networks and knowledge graphs to represent complex relationships.
- Implement these integrated models to enhance AI reasoning and inference capabilities.
- Evaluate and validate these models in real-world domains through case studies and applications.
Key Requirements :
- Educational Background : A Ph.D. (or relevant experience) in Machine Learning, Artificial Intelligence, Data Science, or a related field.
- Technical Skills : Strong expertise in probabilistic modeling, statistics, and machine learning. Proficiency with probabilistic graphical models, factor networks, and knowledge graphs.
- Experience : Hands-on experience developing and applying AI models, including knowledge graph-based systems.
- Familiarity with relevant tools and libraries such as Bayesian Deep Learning and the Knowledge Graph Toolkit.
- Proven ability to apply research in practical, real-world AI systems.
Preferred Qualifications :
- Demonstrated experience with uncertainty quantification techniques in AI systems.
- Prior research experience or publications in AI reasoning, probabilistic modeling, and knowledge graphs.
- Ability to work independently and in a collaborative team environment to solve complex technical problems.
Benefits :
- Opportunity to work on groundbreaking AI research projects with real-world impact.
- Collaboration with an experienced, innovative team in a forward-thinking organization.
- Flexible working environment.
If you are passionate about pushing the boundaries of AI and machine learning, particularly in probabilistic modeling and AI reasoning, we encourage you to apply!
How to Apply : Please submit your resume, a brief cover letter detailing your relevant experience, and links to any relevant publications or GitHub repositories.
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