Design, develop, and iterate on the inference model that quantifies emotional states from multimodal wearable sensor signals.
Bridge neuroscience research and production-grade ML systems.
Collaborate closely with hardware and product team members to integrate the model.

WHAT WE'RE LOOKING FOR:

PhD in computational neuroscience, cognitive science, or active inference.
Experience bridging neuroscience research and production ML systems.
Strong Python proficiency for ML model development and deployment.

COMPENSATION & BENEFITS:

Base salary ~$150,000 USD.
Meaningful founding-team equity up to 1-2%.
Flexible remote or hybrid arrangements.

LOCATION:

Primary offices in London, UK and San Francisco, CA, USA.
Open to remote or hybrid arrangements.
Location flexible for the right candidate.

Y Combinator-backed Startup

They are a seed-stage Y Combinator-backed startup building a wearable device that infers and interprets real-time emotional states. The company is early with prototypes already on users' wrists, and they expect this hire to lead the core inference work as the team scales.

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