Traceoid : Various roles
Traceoid - Various roles - Remote
Traceoid (http://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.
Here is what Yann LeCun had to say about EBMs https://x.com/ylecun/status/1380066315600343042.
Please reach out, if you have background in any of these fields (or are excited to learn):
integrable systems
algebraic topology (in particular Hopf algebras, tensor categories)
quantum groups
category theory
statistical mechanics
computational physics (see the link above for a full list).
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 the above fields.
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.
We are finalizing company stuff and will not start hiring for another couple of weeks. That being said, if the job sounds interesting, please do not hesitate and contact us at adam+jobs@traceoid.ai.
While we have just finalized an investment round, please reach out if you are interested in investing in the next round. Reach out to adam+vc@traceoid.ai.
You can also join our Discord channel https://discord.com/invite/mr9TAhpyBW even if you just want to follow along.