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WHAT YOU'LL DO:
- 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.