What are the responsibilities and job description for the Machine Learning Researcher – Probabilistic Models & AI Reasoning position at Axiomatic AI?
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 :
Preferred Qualifications :
Benefits :
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.
PI259970024