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Principle Engineer -In Bayesian, Large Foundational Systems, and Distributional Reinforcement Learning

1 hour, 35 minutes ago
United States
Full-time
Lead
Research Scientist
Software Development
Apache Spark C++ Java Kafka LLM Machine Learning Python PyTorch Scala Statistics TensorFlow
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Airbnb

Airbnb

Airbnb is the world's largest community-driven hospitality company, offering homes and experiences in 191 countries. It is an online marketplace connecting people to unique accommodations and experiences globally.

Hotels, Restaurants & Leisure
5K-10K
Founded 2008
View All Jobs 133

Description

  • Lead applied research in Bayesian systems, distributional reinforcement learning, and multimodal architectures for ranking, recommendations, and personalization.
  • Bridge theoretical AI/ML advances with production systems and ensure research can be scaled for practical use.
  • Define and drive the architecture of large-scale Bayesian framework-based AI systems.
  • Develop multi-pass sharded Bayesian, discriminative, and generative multi-agent systems for scale and efficiency.
  • Incorporate mixture of models and agents, multitask learning, multi-objective optimization, and external knowledge systems into model designs.
  • Integrate LLMs, LRMs, LMMs, and transformer-based architectures into the broader AI ecosystem.
  • Build and refine Bayesian or Markovian graph chains to support uncertainty estimation, probabilistic reasoning, and adaptive decision-making.
  • Lead technical strategy for AI/ML systems and influence cross-functional teams to adopt unified intelligence platform approaches.
  • Mentor engineers, perform code reviews, and champion AI/ML best practices.
  • Develop, productionize, and maintain scalable batch and real-time AI/ML pipelines, evaluation systems, and reliability processes.

Requirements

  • Bachelor’s degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience.
  • 15+ years of technical experience in applied machine learning, including coding and deploying production systems.
  • Strong programming skills in Python, Scala, Java, or C++, with experience in AI/ML frameworks such as TensorFlow or PyTorch.
  • Proven experience with Bayesian neural networks, Bayesian learning, and reinforcement learning.
  • Strong background in probability, statistics, and optimization.
  • Experience building scalable AI/ML systems using Spark, Kafka, and distributed architectures.
  • Familiarity with mixture of models, ensemble techniques, multitask learning, and sharded architectures.
  • Ph.D. in a relevant technical field with 15+ years of experience in AI/ML research and engineering, preferred.
  • Hands-on experience with multitask and multi-objective optimization systems, preferred.
  • Experience designing knowledge-driven systems and integrating external knowledge sources, preferred.
  • Familiarity with foundational models, transformers, and interoperability with Bayesian systems, preferred.
  • Exceptional leadership, collaboration, and communication skills in complex, matrixed organizations, preferred.
  • Track record of publishing research or developing novel AI/ML techniques, preferred.
  • Must live in a state where Airbnb, Inc. has a registered entity for this US-remote-eligible role.

Benefits

  • Base salary range of $296,000 to $370,000 USD.
  • Eligible for bonus.
  • Eligible for equity.
  • Eligible for benefits.
  • Eligible for Employee Travel Credits.
  • US remote-eligible with occasional office or offsite work as agreed with the manager.
  • Reasonable accommodations available for candidates with disabilities during the application and interview process.

Interested in this position?

Apply directly on the company website

Apply Now

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