Airbnb

1 month ago

Principal AI/ML Researcher / Engineer In Reasoning, Planning, and Decision-making systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Lead research and development of reasoning, planning, and decision-making AI/ML systems, integrating LRMs with knowledge graphs, reinforcement learning, and multi-agent architectures to enable distributed intelligence across Airbnb's platform. Drive architecture, model development, and technical leadership, collaborating with product, infra, and design to operationalize cognitive AI across real-world workflows.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Sr. Manager level

Key Responsibilities

•Drive foundational and applied research in reasoning engines, planning architectures, and decision-making frameworks at scale to incorporate genAI into the ranking/recommendation/personalization stack and multi-agent systems.
•Architect RPD systems that integrate post-trained LLMs/LRMs, graph-structured memory, and RL-driven controllers; design recursive task planners and belief-state trackers.
•Build and evolve stateful, dynamic models that combine supervised learning with online/offline reinforcement, simulations, and graph-based inference; optimize exploration and planning horizons.
•Set direction for planning/reasoning infrastructure within the AI/ML platform strategy and mentor teams across initiatives involving autonomous agents and decision pipelines.
•Collaborate across product, infra, and design to translate ambiguous product intent into multi-stage reasoning pipelines and cross-functional roadmaps.

Pay and Benefits

Salary: USD 296,000 - 370,000 annually

Equity and Bonus:Equity

Perks:EquityTravel AllowanceAnnual Bonus

Key Requirements

•Masters or equivalent in Computer Science, AI, Cognitive Science, or related fields.
•15+ years in AI/ML, including post-training architectures and production-scale reasoning systems.
•Advanced coding proficiency in Java, Python, C++, or similar, with experience in ML/RL frameworks (PyTorch, Ray, JAX, RLlib) at scale.
•Proven experience integrating LLMs/LRMs with Knowledge Graphs or structured world models.
•Deep understanding of Reinforcement Learning and its application to decisioning and planning.

Experience:15+ yearsAI/MLCognitive AIMulti-agent systems

Education:Master's

Skills:LeadershipCollaborationCommunicationProblem-solving

Languages:English

Tech Stack:JavaPythonC++PyTorchRayJAXRLlibLLMsLRMsKnowledge GraphsGraph databasesReinforcement Learning

Company Brief

Airbnb

Online marketplace that connects travelers with hosts offering short-term lodging, experiences, and long-term stays. Facilitates booking, payments, and reviews while providing tools for hosts to manage listings globally.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2008

Website LinkedIn

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Airbnb

1 month ago

Principal AI/ML Researcher / Engineer In Reasoning, Planning, and Decision-making systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Sr. Manager level

Key Responsibilities

•Drive foundational and applied research in reasoning engines, planning architectures, and decision-making frameworks at scale to incorporate genAI into the ranking/recommendation/personalization stack and multi-agent systems.
•Architect RPD systems that integrate post-trained LLMs/LRMs, graph-structured memory, and RL-driven controllers; design recursive task planners and belief-state trackers.
•Build and evolve stateful, dynamic models that combine supervised learning with online/offline reinforcement, simulations, and graph-based inference; optimize exploration and planning horizons.
•Set direction for planning/reasoning infrastructure within the AI/ML platform strategy and mentor teams across initiatives involving autonomous agents and decision pipelines.
•Collaborate across product, infra, and design to translate ambiguous product intent into multi-stage reasoning pipelines and cross-functional roadmaps.

Pay and Benefits

Salary: USD 296,000 - 370,000 annually

Equity and Bonus:Equity

Perks:EquityTravel AllowanceAnnual Bonus

Key Requirements

•Masters or equivalent in Computer Science, AI, Cognitive Science, or related fields.
•15+ years in AI/ML, including post-training architectures and production-scale reasoning systems.
•Advanced coding proficiency in Java, Python, C++, or similar, with experience in ML/RL frameworks (PyTorch, Ray, JAX, RLlib) at scale.
•Proven experience integrating LLMs/LRMs with Knowledge Graphs or structured world models.
•Deep understanding of Reinforcement Learning and its application to decisioning and planning.

Experience:15+ yearsAI/MLCognitive AIMulti-agent systems

Education:Master's

Skills:LeadershipCollaborationCommunicationProblem-solving

Languages:English

Tech Stack:JavaPythonC++PyTorchRayJAXRLlibLLMsLRMsKnowledge GraphsGraph databasesReinforcement Learning

Company Brief

Airbnb

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2008

Website LinkedIn