Join traceoid.ai, a company revisiting the theory that underlies machine learning. We are looking for candidates with a background in integrable systems, algebraic topology (in particular Hopf algebras, tensor categories), quantum groups, category theory, statistical mechanics, and computational physics. As part of this job, you will be reading papers and implementing research from these fields. You will join a team with several PhDs, and while advanced degrees are not required, deep knowledge of the fields is expected. Ideal candidates should understand high-performance coding and be able to explain the concept of a Hamiltonian.
traceoid.ai is revisiting the theory that underlies machine learning. Our approach opens up the door towards scalable energy-based models, faster and cheaper training and inference and interpretability. If we succeed, our approach will mark a significant step forward towards achieving AGI.
