Our company operates at the intersection of research & development, and as a part of this job, you will be reading papers and implementing some very cool research from fields such as integrable systems, algebraic topology, quantum groups, category theory, statistical mechanics, and computational physics. You will be joining a team with several PhD's and while advanced degrees are not a hard requirement, you are expected to possess deep knowledge of the above fields. Ideal candidate would understand how one goes about writing high perf code as well as 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.
