Principal AI/ML Researcher / Engineer In Bayesian, Large Foundational Systems, and Distributional Reinforcement LearningActive$296K

Remote · United StatesHospitality

The opportunity

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences…

What they're looking for

  • Innovate methods to interoperate with LLMs, LRMs, LMMs, and transformer-based: architectures, ensuring seamless integration and collaboration within the AI ecosystem using AI Multi-Agentic Frameworks.
  • Build and refine Bayesian or Markovian Graph chains to incorporate: uncertainty estimation, adaptive decision-making, and probabilistic reasoning.
  • Develop foundational models by merging Bayesian techniques with Classical ML: with L[L/M/R]Ms and other advanced architectures, ensuring compatibility and synergy.
  • Continuously improve systems for scalability, performance, and robustness,: enabling models to absorb and adapt to diverse data sources and paradigms.