Research Scientist (Conformal Prediction) (New Canada)

Early stage 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

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