Posted:
7/10/2026, 1:24:00 AM
Location(s):
San Francisco, California, United States ⋅ California, United States
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
AI & Machine Learning
Workplace Type:
On-site
Pay:
$150k/yr
A Y Combinator–backed consumer wearable startup at the frontier of emotional intelligence is hiring a founding Neuroscience PhD to own the core inference model that quantifies emotional states from wearable sensor data. This is a rare opportunity to join a five-person team at the ground floor, bridging cutting-edge computational neuroscience research with production machine learning — with real ownership and equity from day one.
The company builds a wearable device that tracks and trains emotional intelligence (EQ), processing hundreds of audio and biometric signals to surface actionable emotional state metrics in real time. Prototypes are already on users' wrists. The mission: make EQ measurable and trainable in an era where AI commoditises cognitive intelligence.
Design, develop, and iterate on the inference model that quantifies emotional states (energy, mood, focus) from multi-modal wearable sensor data
Bridge neuroscience research and production ML — you will function equally as a research scientist and an ML engineer
Evaluate and deploy models at scale, maintaining rigour from experimental design through to on-device or cloud inference
Apply active inference frameworks and computational neuroscience methods to novel, real-world signal problems
Help define the scientific roadmap as a founding team member, with the expectation of building and leading a research org as the company scales
Required
PhD in computational neuroscience, cognitive science, active inference, or a closely related field (dealbreaker)
Demonstrated experience building and deploying inference models to quantify physiological or emotional states from wearable or biosensor data
Strong ML engineering skills: model development, evaluation pipelines, and production deployment
Hands-on experience with active inference frameworks and computational neuroscience methods
Proficiency in Python and relevant scientific/ML tooling
Ability to work on-site in San Francisco or London
Nice to Have
Experience with multi-modal biosignal processing (EEG, PPG, GSR, audio, etc.)
Prior experience in a fast-moving early-stage startup environment
Interest in consumer hardware and the intersection of neuroscience and product
Not a fit: Wet-lab-only neuroscience backgrounds without computational or ML experience.
Salary: ~$150,000 USD (San Francisco) / ~£75,000 GBP (London)
Equity: Up to 1–2% (founding team stake)
The company has recently closed a seed round with angels and strategic partners
Visa sponsorship: Not available for new visas; existing visa transfers considered
On-site in San Francisco, CA, USA or London, UK. Location is flexible between the two offices. This is not a remote role.
Website: https://www.getclera.com/
Headquarter Location: San Francisco, California, United States
Employee Count: 1-10
Year Founded: 2025
IPO Status: Private
Last Funding Type: Pre-Seed
Industries: Artificial Intelligence (AI) ⋅ Career Planning ⋅ Information Technology ⋅ Recruiting