ANORIA
The first wearable that reads your emotions to enhance your EQ.
What ANORIA does
We've spent decades tracking everything. Sleep. Recovery. Steps. All proxies for how we feel. Performance is 90% mental. And yet no one has built the feedback loop for our emotions. We close that loop by designing a device that understands how you feel, tells you why, and what you can do about it. Emotional intelligence becomes trainable, so you can better connect and create with those around you.
2 open roles
What the role involves
About the role We're hiring a senior neuroscientist to lead key aspects of our work in applied active inference, moving theoretical frameworks into models we test against real human data. Hands-on research role reporting directly to the CEO. What you'll lead Aspects of model development alongside our ML lead. The design and execution of our next phase of data collection: what we measure, how, and what protocols pull clean signal from both controlled and naturalistic settings. Translating what the data tells us back into the model. Who you'll work with You'll engage as a peer with several of the leading active inference researchers across labs in the US, UK, and EU, co-designing studies, co-authoring where it makes sense, and keeping our science in dialogue with the frontier. Internally: the ML lead and the CEO. What we're looking for PhD in neuroscience, cognitive science, or an adjacent field, with a publication record in active inference applied to interoception, affect, or emotion. Deep mathematical fluency. Track record of designing human studies for behavioral and physiological data. Comfortable moving between theory, experiment, and code. Why this role Most active inference work lives in papers. This role is about taking ideas that have matured in the literature and putting them to work in the real world, with the rigor to know whether they hold up.
What the role involves
Founding Fullstack Engineer ANORIA | YC S26 | San Francisco We're building the first wearable that understands how you feel. Our proprietary model infers emotional state from wearable data. Founded by ex-Apple iPhone Product Design lead.You'll own the full software stack: companion mobile app, cloud pipeline, and the interface between device firmware and our ML engine. You'll work directly alongside our founding ML engineer and the CEO. What you'll do: Build and ship the companion app (Swift) Architect the cloud pipeline from device to model to user Solve hard problems in audio context extraction and noisy sensor data Move fast across the stack wherever the bottleneck is What we're looking for: Strong across frontend, backend, and infra. Generalist who ships. Obsessed with AI coding tools and at the forefront of what they can do Comfortable with ambiguity. We're five people building something new. Want to be a founding member, not an employee Equity: founding-level grant. This is a ground-floor role. San Francisco. In person.
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Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.