Clera
Neuroscience PhD
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About the Role
This is a founding technical role at the intersection of computational neuroscience and production machine learning, sitting at the core of a wearable AI product that quantifies emotional states in real time. You'll own the inference model that translates biometric and audio signals into emotional intelligence insights — work that directly defines what the product can do. Computational neuroscientists here operate as full ML engineers, bridging research and deployed systems.
What You'll Do
- Develop and iterate on the inference model that quantifies emotional states from wearable sensor data.
- Bridge neuroscience research and production machine learning systems, taking models from concept through deployment.
- Contribute to the full ML lifecycle — experimentation, validation, and productionisation — at an early-stage company where your scope will grow with the team.
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What We're Looking For
- PhD in computational neuroscience, cognitive science, active inference, or a closely related field.
- 2–7 years of experience bridging neuroscience research and production machine learning systems.
- Strong proficiency in Python for ML model development and deployment.
- Comfort working across research and engineering — you think like a scientist and ship like an engineer.
- Background in active inference or probabilistic/generative models of brain function is a strong plus.
- US work authorisation required (visa transfers considered; no new sponsorship).
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Compensation & Benefits
- Salary of $150,000 USD (US) or approximately £75,000 GBP (London), plus meaningful early-stage equity (up to 1–2%).
- No new visa sponsorship; transfers are welcome.
Location
- Primary location is London, UK, with on-site presence in London or San Francisco also an option.
- Remote and hybrid arrangements are supported.
- Location is flexible for the right candidate.
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