A Y Combinator–backed wearable technology startup is hiring a Computational Neuroscience PhD to own the core inference model that quantifies real-time emotional states from wearable sensor data. This is a founding technical role — you'll sit at the intersection of neuroscience research and production machine learning, and you're expected to grow into a leadership position as the company scales.
The company is building a wearable device that infers and interprets a user's emotional state in real time using a proprietary AI model processing both audio and biometric signals. The mission is to make emotional intelligence trainable and help people reliably reach peak mental performance states.
You will develop and iterate on the inference model that quantifies emotional states from multimodal wearable sensor data. You'll bridge neuroscience research and production machine learning — operating as both researcher and ML engineer. You'll translate theoretical frameworks (e.g. active inference, cognitive science) into deployable, scalable systems and collaborate closely with the founding team to shape the technical direction of the core AI product.
Base salary: ~$150,000 USD (US) / ~£75,000 GBP (London)
Equity: Meaningful founding-level equity (up to 1–2%)
Founding team role with significant ownership and growth opportunity
US work authorization required (visa transfers considered; no new visa sponsorship)
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