Job Description
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
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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