Match score not available

Analytic Learning Algorithm Research

Remote:

Full Remote

Contract:

Full time

Work from:

Switzerland

Offer summary

Qualifications:

Advanced degree in Mathematics, Computer Science, or Statistics., Experience in advanced mathematical analysis methods., Familiarity with hierarchical Bayesian modeling., Algorithm development and prototyping skills..

Key responsabilities:

Develop numerical-analytical models of learning.
Prove properties of algorithms and validate results.

PlantingSpace Information Technology & Services Startup https://planting.space/

11 - 50 Employees

See all jobs

Job description

We are building an AI system for analysts and scientists, based on a fundamentally new approach to reasoning and knowledge representation. We go beyond state-of-the-art LLMs by combining algorithms in symbolic ways, to provide novel capabilities like performing multi-step analysis, displaying a verifiable reasoning path, and assessing uncertainty. We envision applications supporting and automating analysis and research in domains such as Finance, Strategy Consulting, Engineering, Material Sciences, and more.

We are looking for full-time researchers to contribute to the development and analysis of our learning algorithm. You will work on interesting theoretical problems with immediate applicability to implementation of our system.

Our team works fully remotely, and mostly within the CET timezone.

Useful experience

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

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

On our website you can find more about our team and work culture, as well as example tasks that share some insight into the type of things team members are working on.

What we do: https://planting.space/

Ways of work: https://planting.space/org/

Team culture and example tasks: https://planting.space/joinus/