Category Theory Machine Learning Engineer

2 days ago


London, Greater London, United Kingdom Tbwa ChiatDay Inc Full time

We are building deep learning models that manipulate structured data, learn algebraic structure in it, and do so with an interpretable and verifiable logic. At Symbolica, we strive to push the boundaries of innovation and deliver AI technology that meets the rigorous demands of industries requiring utmost reliability and security.

About Us

SymbolsicAI was founded in 2022 and has recently raised over $30 million from prominent Silicon Valley venture capital firms to advance machine reasoning.

Responsibilities
  1. Collaborate with category theorists and machine learning engineers to develop novel architectures rooted in category theory.
  2. Participate in our research in categorical deep learning, contributing to the development of foundational theory and its applications.
  3. Stay informed about advancements in deep learning and align our research with cutting-edge developments.
  4. Work at multiple levels of abstraction, from high-level theoretical concepts to low-level implementation details.
Requirements
  • PhD in Computer Science, Mathematics, or a related discipline.
  • Demonstrated research expertise, with publications in top-tier conferences.
  • Strong experience with neural network architectures and a keen interest in category theory or type theory.
  • Proficiency in functional programming languages.


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