Research Scientist in AI at Stealth Lab

Join an innovative AI lab led by ex-OpenAI researchers, focusing on cutting-edge conformal prediction for LLMs. Develop production systems while tackling uncertainty quantification in evolving markets.

This early-stage AI lab, funded by top tier VCs, seeks a Research Scientist to contribute to groundbreaking work in agentic systems. You'll engage in advanced techniques like selective prediction, calibration, and confidence aggregation. The role emphasizes translating research into practical applications, ensuring impactful advancements in AI.

Key Responsibilities:

• Conduct conformal prediction for large language models

• Implement uncertainty quantification strategies in changing markets

• Develop selective prediction and abstention mechanisms

• Aggregate confidence across multiple AI agents

• Translate research innovations into production-ready systems

Requirements:

• Expertise in conformal inference and uncertainty quantification

• Knowledge of statistical learning theory and online learning

• Proficient in probabilistic modeling or Bayesian methods

• Familiarity with PyTorch, JAX, or large-scale ML systems

• Experience with foundation models or generative AI preferred

Bring your advanced AI skills to transform theoretical research into real-world applications in this pioneering frontier lab.
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