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Why this grade
This listing scored 39/100, which is an F. It lost the most ground on pay transparency.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
About the Role
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.
What You'll Do
Develop and iterate on the inference model that quantifies emotional states from multimodal wearable sensor data
Bridge neuroscience research and production machine learning — you'll operate as both researcher and ML engineer
Translate theoretical frameworks (e.g. active inference, cognitive science) into deployable, scalable systems
Collaborate closely with the founding team to shape the technical direction of the core AI product
What We're Looking For
Required:
PhD in computational neuroscience, cognitive science, active inference, or a closely related field
Demonstrated experience bridging neuroscience research and production machine learning systems
Strong Python proficiency for ML model development and deployment
Comfort working in a fast-moving early-stage environment
US work authorization required (visa transfers considered; no new visa sponsorship)
Nice to Have:
Background in active inference or Bayesian brain / predictive coding frameworks
Experience with multimodal biosignal processing (audio, biometric, physiological data)
Prior founding or early-stage startup experience
Not a fit if: your background is exclusively wet-lab neuroscience with no ML or computational modeling experience.
Compensation & Benefits
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
Location
Primary office: London, UK (on-site) — San Francisco, CA also available
Remote and hybrid arrangements are also considered
Visa sponsorship: Not available for new sponsorships; visa transfers are acceptable
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 13 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.