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Neuroscience PhD / Computational Neuroscience ML Engineer

Role overview

Qualifications

  • 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

Responsibilities

  • Develop and iterate on the inference model that quantifies emotional states from multimodal wearable sensor data
  • Bridge neuroscience research and production machine learning — 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

Key facts

Other skills

  • Emotional Intelligence
  • Active Learning
  • Collaboration
  • Adaptability

About the company

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Clera

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Company details

IndustryStaffing & Recruiting
Company size1 - 10

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Job description

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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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