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

Airbnb

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$296,000–$370,000 / yr
Posted
1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $217k
This role $333k
$161k most similar roles pay here $392k

This role pays more than 96% of similar roles. Most pay $183,637–$250,250 — the shaded band above. At the midpoint, this role pays about $333k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Airbnb

Founded in 2008 and formerly known as AirBed & Breakfast, Inc., Airbnb is a global marketplace connecting travelers with hosts who offer unique accommodations, ranging from private rooms to entire homes. It operates a massive digital platform for booking stays, experiences, and travel services worldwide.

Airbnb currently has 75 open roles on FindRole.

Listed pay typically runs $204,000–$255,000 across 45 roles with salary data.

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View all roles at Airbnb

At a glance

TL;DR · Principal Engineer -In Bayesian, Large Foundational Systems, and Distributional Reinforcement Learning - Careers

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As a Principal AI/ML Researcher and Engineer at Airbnb, you will lead the development of advanced Bayesian Learning and Distributional Reinforcement Learning systems to enhance personalization and decision-making across diverse applications. Your daily responsibilities include bridging theoretical advancements with practical production systems, designing large-scale Bayesian frameworks, and integrating Large Language Models (LLMs) and other AI models into a unified ecosystem. You will work closely with cross-functional teams to ensure these systems are scalable, efficient, and robust, impacting user experiences directly. Essential skills include expertise in Python, Scala, Java, or C++, proficiency in TensorFlow and PyTorch, and experience with Spark, Kafka, and distributed architectures. This role demands a strong background in Bayesian Neural Networks, reinforcement learning, and advanced ML techniques like multitask learning and sharded systems, aiming to drive Airbnb's leadership in adaptive probabilistic intelligence.

Skills

Python TensorFlow PyTorch Scala Java C++ Bayesian Neural Networks Reinforcement Learning Mixture of Models Ensemble Techniques Multitask Learning Spark Kafka Distributed Architectures CI/CD

What you'll do

  • Lead applied research in Bayesian systems and distributional reinforcement learning to drive innovation.
  • Define architecture for large-scale Bayesian Framework-based AI systems at Airbnb.
  • Develop multi-pass sharded Bayesian systems for scale and efficiency in production environments.
  • Build foundational models by merging Bayesian techniques with advanced architectures like LLMs.
  • Ensure scalability, performance, and robustness of AI/ML pipelines through rigorous testing.

What we're looking for

  • Extensive experience (15+ years) in applied machine learning and deploying production systems.
  • Expertise in Bayesian Neural Networks, Bayesian Learning, and Reinforcement Learning.
  • Strong programming skills in Python, Scala, Java, or C++ with AI/ML frameworks like TensorFlow and PyTorch.
  • Background in probability, statistics, and optimization for advanced ML techniques.
  • Experience building scalable AI/ML systems using technologies such as Spark, Kafka, and distributed architectures.
  • Hands-on experience with multitask learning, multi-objective optimization, and sharded architectures.

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