Machine Learning Engineer

We're building a foundation model of the brain and behavior across species, trained on large-scale multimodal neural and behavioral data (including EEG, MEG, and fMRI), and this role is central to designing and training it. You'll work on the core generative model: architecture, training at scale, and representation learning across neural signals and behavior, along with the research questions that come with modeling biological data as sequences.

You'll join a small team and work alongside our existing ML engineer, with room to shape the modeling direction as we grow. This is early-stage scope in a much less explored space, so you'll train greenfield models, own parts of the stack, and see your work define the company's core asset.