Research scientist (conformal prediction)

Early stage frontier frontier AI lab founded by ex-OpenAI, MSL and Google DeepMind researchers.

Significant backing from tier 1 VCs. Currently in deep stealth mode

We're hiring a number of Research Scientists to work on conformal prediction and uncertainty quantification. You'll solve one of the hardest problems in applied AI...making LLMs and multi-agent systems reliably aware of their own uncertainty.

Your focus

• Conformal prediction for LLMs and agentic systems
• Uncertainty quantification under distribution shift and changing market regimes
• Selective prediction and abstention mechanisms
• Calibration and confidence aggregation across multiple agents
• Translating cutting-edge research into production systems

Experience we're interested in:

• Conformal prediction, conformal inference, uncertainty quantification and statistical learning theory
• Probabilistic modelling, online learning, or Bayesian methods

Ideal experience:

• Foundation models, generative AI, or multi-agent systems
• PyTorch, JAX, and large-scale ML systems