Research Scientist - Simplex

About the role

WHAT WE'RE BUILDING AT SIMPLEX

At Simplex, we're building a science of intelligence. Our aim is to develop and apply a rigorous theory of latent internal structure in neural networks, and how that structure relates to computation and behavior.

We believe that when dealing with intelligence, understanding is safety. Without genuine understanding, we can't reliably monitor, control, or even reason clearly about what these systems are doing. But these same systems also present us with a new opportunity. For the first time, we have AI complex enough to serve as testbeds for theories of intelligence, including biological. We aim to build a theory applicable to intelligence, both artificial and biological.

We have the beginnings of such a theory, grounded in the physics of information and experimentally verified in transformers. Now, we are scaling our team. Some of the near-term goals we have are building unsupervised methods that recover belief geometries in real LLMs, extending the theory to more complex cognitive tasks, and pushing toward tools reliable enough to matter for safety.

We are also hiring for a Senior Research Scientist https://jobs.ashbyhq.com/astera/51b3dda4-e471-48f7-af9e-43e6466026b7?departmentId=1c46aff2-dca4-4bd3-818d-1f4f3f05aa43position.

WHO WE'RE LOOKING FOR

We're looking for people who can do rigorous mathematics and get their hands dirty with real models and data; ideally someone who moves naturally between theory and experiment, and feels deeply driven to understand intelligence.

- You learn across fields. Our work draws on many fields, like dynamical systems, probability, deep learning, physics, information theory, and neuroscience. You don't need to know all of it coming in, but you're the kind of person who picks things up, and follows your curiosity—and surprising experimental results—wherever they lead.

- You have taste. You know the difference between a problem that matters and a problem that's merely publishable. You have opinions about research directions, not just techniques. You care about the craft of how experiments are designed, analyzed, and presented.

- You're self-directed. We're a small team. You'll have real ownership over your work, which means figuring out what to do, not just how to do it. You'll work closely with the research team, but we expect you to develop and pursue your own ideas within the broader research program.

- You communicate. You can explain your ideas clearly to collaborators, in writing, and on a whiteboard. Science is a team activity for us, and that requires being able to think together.

- You build. You're at home in front of a whiteboard and in a terminal. We are building new theory, new code, and new experiments. You think big, but you're serious about it, and you actually try to make things happen rather than just ideating. You use AI tools, you tinker, you're excited about what's becoming possible.

- You have depth in at least one quantitative field such as physics, mathematics, neuroscience, machine learning, etc. A PhD is typical but not required if you've found another way to go deep.