About The Role

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.

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).

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.