Neuroscience PhD (Computational / Active Inference)

San Francisco on site Until 10/1/2026 First posted August 2, 2026 Last posted August 2, 2026
Job description

About the Role

This is a founding technical role at a Y Combinator–backed consumer healthtech startup building a wearable that quantifies emotional states in real time. The company is early-stage (team of ~5), already has prototypes on users' wrists, and is growing fast. You'll own the core inference model that powers the product — bridging cutting-edge computational neuroscience with production machine learning engineering.

This is not a pure research role. Computational neuroscientists here effectively double as ML engineers, taking models from research through to deployment.

What You'll Do

  • Design, develop, and iterate on the inference model that quantifies emotional states (e.g. energy, mood, focus) from multimodal wearable sensor data — including audio and biometric signals

  • Own the full ML lifecycle: model development, evaluation, and production deployment

  • Apply active inference frameworks and computational neuroscience methods to real-world signal processing challenges

  • Bridge neuroscience research and production ML, collaborating closely with the founding team to shape both the science and the product roadmap

  • Grow into a leadership role as the company scales

What We're Looking For

Required

  • PhD in computational neuroscience, cognitive science, active inference, or a closely related field — this is a strict requirement

  • Hands-on experience building and deploying inference models to quantify emotional or physiological states from wearable sensor data

  • Strong machine learning engineering skills: model development, evaluation, and deployment

  • Experience with active inference frameworks and computational neuroscience methods

  • Comfort working on-site (San Francisco or London) and ability to work without new visa sponsorship (visa transfers considered for the London office)

Nice to Have

  • Experience working in a fast-moving, early-stage environment

  • Python proficiency across the ML stack

  • Background in consumer health, biometrics, or affective computing

Not a fit: Candidates with a wet-lab-only neuroscience background and no computational or ML engineering experience.

Compensation & Benefits

  • Salary: ~$150,000 USD (San Francisco) / ~£75,000 GBP (London)

  • Equity: Up to 1–2% (founding team equity package)

  • Backed by angels and strategic partners (pre-Series A / seed stage, YC Spring 2026)

Location

  • On-site in San Francisco, CA, USA or London, UK — location is flexible between the two

  • Visa sponsorship: Not available for new sponsorships; visa transfers may be considered for the London office

About this role

Summary

Develop and deploy inference models quantifying emotional states from wearable sensors.

Job title

Neuroscience PhD (Computational / Active Inference)

Experience level

PhD level

Industry

healthtech

Location requirements

On-site in San Francisco or London; remote not specified

Salary

$150k+

Management role

No

Skills & keywords

Required skills

computational neurosciencemachine learning engineeringactive inference frameworkssensor data analysis

Preferred skills

consumer healthbiometricsaffective computingPython

Specializations

computational neuroscienceactive inferencemachine learningbiometricsaffective computing
Locations

Structured locations inferred from the posting.

San Francisco, CA, USA

On-site City