Principal AI/ML Researcher / Engineer Reasoning, Planning, and Decision-making systems
Core
Architecting and operationalizing cognitive AI systems that combine post-trained foundational models, explicit memory, and recursive planning strategies for real-world decisioning in personalized environments.
Role type
Principal AI/ML Researcher and Engineer specializing in reasoning, planning, and decision-making systems
Builds
Intelligent decisioning substrates, multi-agent systems, and cognitive AI architectures for Airbnb's marketplace
Domain
Travel technology, Cognitive AI, Multi-agent systems, Reinforcement Learning
Deliverable
production ML models | product features | research
Required skills
Post-training intelligence frameworks, Large Reasoning Models (LRMs), Knowledge Graphs integration, Reinforcement Learning (RL), Multi-agent system design, Symbolic-sub-symbolic fusion, Distributed reasoning protocols, Plan induction, Value estimation, Hybrid model architectures (connectionist-symbolic), Real-time reasoning loops
Preferred skills
Ph.D. in AI/Robotics/Cognitive Systems, Published work in multi-agent reasoning or generative control, Cognitive architectures, Neuro-symbolic systems, Memory architectures, Semantic program induction, Distributed intelligence platforms
Technologies
Java, Python, C++, PyTorch, Ray, JAX, RLlib, Retrieval-Augmented Generation (RAG)
Responsibilities
Drive foundational research in reasoning engines and planning architectures; Architect RPD systems integrating post-trained LLMs/LRMs and RL-driven controllers; Build stateful dynamic models combining supervised learning with reinforcement; Set direction for planning/reasoning infrastructure and mentor teams in systems thinking; Productionize real-time reasoning loops with low-latency inference and streaming updates
Seniority
Principal, hands-on IC with strategic influence and mentorship
