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

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

Airbnb

5 months ago

4.1 on Glassdoor

Remote

Full Time

Senior

2 applicants

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About this role

A Principal AI/ML Researcher and Engineer at Airbnb leads advanced research and development of cutting-edge AI models that integrate Bayesian frameworks with reinforcement learning, large language models, and multi-modal architectures to create adaptive intelligence systems for personalization, decision-making, and user experience.

Skills

Qualifications

Bachelor’s degree in Computer Science, Mathematics, or a related technical field15+ years of technical experience in Applied Machine LearningStrong programming skills in Python, Scala, Java, or C++Proven experience with Bayesian Neural Networks, Bayesian Learning, and Reinforcement LearningStrong math background in probability, statistics, and optimization

About Airbnb

airbnb.com

Headquarters

Rome, Lazio, Italy

Company Size

5001-10000 employees

Founded

2007

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Airbnb is a global travel marketplace that connects people seeking short-term lodging and local experiences with hosts who list unique homes, apartments, boutique stays, and activities. Beyond accommodations, it offers curated “Experiences” (tours, classes, guided activities) and tools for hosts such as pricing, calendar management, secure payments, and protection programs. Travelers choose Airbnb for its wide selection of distinctive listings, community reviews and trust-and-safety features, and a convenient booking platform available worldwide.