Analytic Learning Algorithm Researcher

Summary

Join our team of researchers building a groundbreaking AI system for analysts and scientists! We're pushing beyond current LLMs by combining algorithms symbolically for enhanced capabilities like multi-step analysis and uncertainty assessment. As a full-time researcher, you'll tackle interesting theoretical problems with direct implementation impact. Our team operates fully remotely, primarily within the CET timezone. You'll contribute to the development and analysis of our learning algorithm, working on a system with applications across various domains like finance and engineering. We offer a unique opportunity to work on cutting-edge AI research with immediate real-world applications.

Requirements

Mathematics, Computer Science, or Statistics advanced degree (ideally PhD)

Responsibilities

• Develop numerical-analytical models of learning in our system
• Connect our research to existing literature
• Prove properties of algorithms and design experiments to validate results empirically
• Leverage the expertise of other team members effectively
• Write clean and well documented code
• Help other team members to deliver on their goals

Preferred Qualifications

• Advanced mathematical analysis methods, for example: mathematical statistics, optimal transport, information geometry, optimization methods, and dynamical systems
• Translation between equational reasoning and code implementation
• Hierarchical Bayesian modeling and Bayesian computation
• Meta learning or transfer learning
• Research software engineering, algorithm development, and prototyping from scratch

Benefits

Fully remote work